@inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, } @inProceedings{Volodina-Elena2018-275361, title = {Annotation of learner corpora: first SweLL insights.}, abstract = {This is a concise description of experiences with learner corpus annotation performed within SweLL project. Experiences include work with legal issues, anonymization, error annotation, normalization and questions relating to quality of annotation. }, booktitle = {Proceedings of SLTC 2018, Stockholm, October 7-9, 2018}, author = {Volodina, Elena and Granstedt, Lena and Megyesi, Beáta and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén, Mats}, year = {2018}, } @inProceedings{Megyesi-Beata2018-275359, title = {Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish}, abstract = {This paper reports on the status of learner corpus anonymization for the ongoing research infrastructure project SweLL. The main project aim is to deliver and make available for research a well-annotated corpus of essays written by second language (L2) learners of Swedish. As the practice shows, annotation of learner texts is a sensitive process demanding a lot of compromises between ethical and legal demands on the one hand, and research and technical demands, on the other. Below, is a concise description of the current status of pseudonymization of language learner data to ensure anonymity of the learners, with numerous examples of the above-mentioned compromises.}, booktitle = {Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018 / edited by Ildikó Pilán, Elena Volodina, David Alfter and Lars Borin}, author = {Megyesi, Beata and Granstedt, Lena and Johansson, Sofia and Prentice, Julia and Rosén, Dan and Schenström, Carl-Johan and Sundberg, Gunlög and Wirén , Mats and Volodina, Elena}, year = {2018}, publisher = {Linköping University Electronic Press}, adress = {Linköpings universitet}, ISBN = {978-91-7685-173-9}, }