@inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2019-281344, title = {Lärka: From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpusbased exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN. Lärka has recently received a new responsive user interface adapted to different devices with different screen sizes. Moreover, the system has also been augmented with new functionalities. These recent additions aim at improving the usability and the usefulness of the platform for pedagogical purposes. The most important development, though, is the adaptation of the platform to serve as a component in an e-infrastructure supporting research on language learning and multilingualism. Thanks to Lärka’s service-oriented architecture, most functionalities are also available as web services which can be easily re-used by other applications.}, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2019}, publisher = {Linköping University Press}, adress = {Linköping}, ISBN = {978-91-7685-034-3}, } @article{Agebjörn-Anders2019-281196, title = {Review of Advanced Proficiency and Exceptional Ability in Second Languages}, author = {Agebjörn, Anders and Alfter, David}, year = {2019}, number = { Jan 16}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Alfter-David2018-276407, title = {SB@ GU at the Complex Word Identification 2018 Shared Task}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Pilán, Ildikó}, year = {2018}, publisher = {Association for Computational Linguistics}, adress = {Stroudsburg, PA, USA}, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275368, title = {Towards Single Word Lexical Complexity Prediction.}, abstract = {In this paper we present work-in-progress where we investigate the usefulness of previously created word lists to the task of single-word lexical complexity analysis and prediction of the complexity level for learners of Swedish as a second language. The word lists used map each word to a single CEFR level, and the task consists of predicting CEFR levels for unseen words. In contrast to previous work on word-level lexical complexity, we experiment with topics as additional features and show that linking words to topics significantly increases accuracy of classification.}, booktitle = {Proceedings of the Thirteenth Workshop on Innovative Use of NLP for Building Educational Applications, New Orleans, Louisiana, June 5, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, publisher = {Association of Computational Linguistics}, adress = {Stroudsburg, PA }, ISBN = {978-1-948087-11-7}, } @inProceedings{Alfter-David2018-275364, title = {From Language Learning Platform to Infrastructure for Research on Language Learning}, abstract = {Lärka is an Intelligent Computer-Assisted Language Learning (ICALL) platform developed at Språkbanken, as a flexible and a valuable source of additional learning material (e.g. via corpus- based exercises) and a support tool for both teachers and L2 learners of Swedish and students of (Swedish) linguistics. Nowadays, Lärka is being adapted into a central building block in an emerging second language research infrastructure within a larger context of the text-based research infrastructure developed by the national Swedish Language bank, Språkbanken, and SWE-CLARIN.}, booktitle = {Proceedings of CLARIN-2018 conference, Pisa, Italy}, author = {Alfter, David and Borin, Lars and Pilán, Ildikó and Lindström Tiedemann, Therese and Volodina, Elena}, year = {2018}, } @inProceedings{Alfter-David2018-275362, title = {Is the whole greater than the sum of its parts? A corpus-based pilot study of the lexical complexity in multi-word expressions.}, abstract = {Multi-word expressions (MWE) are assumed to be good predictors of language learner proficiency, however, there are no methods to establish at which level which MWEs can be assumed to be known. In this study we look at whether the target (proficiency) level of MWEs can be calculated based on the known level of its constituents.}, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Alfter, David and Volodina, Elena}, year = {2018}, } @misc{Pilán-Ildikó2018-275358, title = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018), SLTC, Stockholm, 7th November 2018 }, abstract = {The primary goal of the workshop series on Natural Language Processing for Computer-Assisted Language Learning (NLP4CALL) is to create a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promoting the development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competencies from these areas for sharing experiences and brainstorming around the future of the field.}, author = {Pilán, Ildikó and Volodina, Elena and Alfter, David and Borin, Lars}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @article{Alfter-David2017-253359, title = {Review of Developing, Modelling and Assessing Second Languages}, author = {Alfter, David and Agebjörn, Anders}, year = {2017}, } @inProceedings{Alfter-David2016-241664, title = {Learning the Learner: User Modeling in Intelligent Computer Assisted Language Learning Systems}, booktitle = {CEUR Workshop Proceedings, v.1618. UMAP 2016 Extended Proceedings. Halifax, Canada, July 13-16, 2016. Edited by : Federica Cena, Michel Desmarais, Darina Dicheva, Jie Zhang}, author = {Alfter, David}, year = {2016}, } @misc{Pilán-Ildikó2016-247241, title = "Coursebook texts as a helping hand for classifying linguistic complexity in language learners' writings", author = "Pilán, Ildikó and Alfter, David and Volodina, Elena", year = "2016", isbn = "978-4-87974-709-9", } @inProceedings{Pilán-Ildikó2016-246349, title = {Coursebook texts as a helping hand for classifying linguistic complexity in language learners' writings}, abstract = {We bring together knowledge from two different types of language learning data, texts learners read and texts they write, to improve linguistic complexity classification in the latter. Linguistic complexity in the foreign and second language learning context can be expressed in terms of proficiency levels. We show that incorporating features capturing lexical complexity information from reading passages can boost significantly the machine learning based classification of learner-written texts into proficiency levels. With an F1 score of .8 our system rivals state-of-the-art results reported for other languages for this task. Finally, we present a freely available web-based tool for proficiency level classification and lexical complexity visualization for both learner writings and reading texts. }, booktitle = {Proceedings of the workshop on Computational Linguistics for Linguistic Complexity}, author = {Pilán, Ildikó and Alfter, David and Volodina, Elena}, year = {2016}, ISBN = {978-4-87974-709-9}, } @inProceedings{Alfter-David2016-246348, title = {Hybrid Language Segmentation for Historical Documents}, booktitle = {CEUR Workshop Proceedings, vol.1749. Proceedings of Third Italian Conference on Computational Linguistics & Evaluation Campaign of Natural Language Processing and Speech Tools for Italian Final Workshop (CLiC-it & EVALITA 2016), Napoli, Italy, December 5-7, 2016. Edited by: Pierpaolo Basile, Anna Corazza, Franco Cutugno, Simonetta Montemagni, Malvina Nissim, Viviana Patti, Giovanni Semeraro, Rachele Sprugnoli}, author = {Alfter, David and Bizzoni, Yuri}, year = {2016}, } @inProceedings{Alfter-David2016-246347, title = {Modeling Individual Learner Knowledge in a Computer Assisted Language Learning System}, booktitle = {Proceedings of the Sixth Swedish Language Technology Conference. Umeå University, 17-18 November, 2016}, author = {Alfter, David and Volodina, Elena}, year = {2016}, } @inProceedings{Volodina-Elena2016-246346, title = {Classification of Swedish learner essays by CEFR levels}, abstract = {The paper describes initial efforts on creating a system for the automatic assessment of Swedish second language (L2) learner essays from two points of view: holistic evaluation of the reached level according to the Common European Framework of Reference (CEFR), and the lexical analysis of texts for receptive and productive vocabulary per CEFR level. We describe the data and resources that our experiments were based on, provide a short introduction to the algorithm for essay classification and experiment results, present the user interface we developed for testing new essays and outline future work. }, booktitle = {Proceedings of EuroCALL 2016. 24-27th August 2016, Cyprus.}, author = {Volodina, Elena and Pilán, Ildikó and Alfter, David}, year = {2016}, publisher = {Research-publishing.net}, ISBN = { 978-1-908416-44-5}, } @inProceedings{Alfter-David2016-246345, title = {From Distributions to Labels: A Lexical Proficiency Analysis using Learner Corpora}, abstract = {In this work we look at how information from second language learner essay corpora can be used for the evaluation of unseen learner essays. Using a corpus of learner essays which have been graded by well-trained human assessors using the CEFR scale, we extract a list of word distributions over CEFR levels. For the analysis of unseen essays, we want to map each word to a so-called target CEFR level using this word list. However, the task of mapping from a distribution to a single label is not trivial. We are also investigating how we can evaluate the mapping from distribution to label. We show that the distributional profile of words from the essays, informed with the essays’ levels, consistently overlaps with our frequency-based method, in the sense that words holding the same level of proficiency as predicted by our mapping tend to cluster together in a semantic space. In the absence of a gold standard, this information can be useful to see how often a word is associated with the same level in two different models. Also, in this case we have a similarity measure that can show which words are more central to a given level and which words are more peripheral. }, booktitle = {Linköping Electronic Conference Proceedings}, author = {Alfter, David and Bizzoni, Yuri and Agebjörn, Anders and Volodina, Elena and Pilán, Ildikó}, year = {2016}, publisher = {Linköping University Electronic Press}, ISBN = {978-91-7685-633-8}, }