BibTeX

@edited_book{alfter-etal-2023-proceedings-331649,
	title        = {Proceedings of the 12th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2023) },
	abstract     = {The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is 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, the integration of insights from Second Language Acquisition (SLA) research, and the promotion of “Computational SLA” through setting up Second Language research infrastructures.},
	editor       = {Alfter, David and Volodina, Elena and François, Thomas and Jönsson, Arne and Rennes, Evelina},
	year         = {2023},
	publisher    = {Linköping University Press},
	address      = {Linköping},
	ISBN         = {978-91-8075-250-3},
}

@inProceedings{wilkens-etal-2023-tcfle-337441,
	title        = {TCFLE-8: a Corpus of Learner Written Productions for French as a Foreign Language and its Application to Automated Essay Scoring},
	abstract     = {Automated Essay Scoring (AES) aims to automatically assess the quality of essays. Automation enables large-scale assessment, improvaements in consistency, reliability, and standardization. Those characteristics are of particular relevance in the context of language certification exams. However, a major bottleneck in the development of AES systems is the availability of corpora, which, unfortunately, are scarce, especially for languages other than English. In this paper, we aim to foster the development of AES for French by providing the TCFLE-8 corpus, a corpus of 6.5k essays collected in the context of the Test de Connaissance du Français (TCF - French Knowledge Test) certification exam. We report the strict quality procedure that led to the scoring of each essay by at least two raters according to the levels of the Common European Framework of Reference for Languages (CEFR) and to the creation of a balanced corpus. In addition, we describe how linguistic properties of the essays relate to the learners' proficiency in TCFLE-8. We also advance the state-of-the-art performance for the AES task in French by experimenting with two strong baselines (i.e., RoBERTa and feature-based). Finally, we discuss the challenges of AES using TCFLE-8.},
	booktitle    = {EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings},
	author       = {Wilkens, Rodrigo and Pintard, Alice and Alfter, David and Folny, Vincent and François, Thomas},
	year         = {2023},
	ISBN         = {9798891760608},
}

@misc{tahmasebi-etal-2023-proceedings-331093,
	title        = {Proceedings of the 4th Workshop on Computational Approaches to Historical Language Change, LChange'23, December 6th, 2023, Singapore},
	abstract     = {Welcome to the 4th International Workshop on Computational Approaches to Historical Language Change (LChange’23) co-located with EMNLP 2023. LChange is held on December 6th, 2023, as a hybrid
event with participation possible both virtually and on-site in Singapore.

Characterizing the time-varying nature of language will have broad implications and applications in
multiple fields including linguistics, artificial intelligence, digital humanities, computational cognitive
and social sciences. In this workshop, we bring together the world’s pioneers and experts in computational approaches to historical language change with a focus on digital text corpora. In doing so, this workshop carries out the triple goals of disseminating state-of-the-art research on diachronic modeling of language change, fostering cross-disciplinary collaborations, and exploring the fundamental theoretical and methodological challenges in this growing niche of computational linguistic research.},
	author       = {Tahmasebi, Nina and Montariol, Syrielle and Dubossarsky, Haim and Kutuzov, Andrey and Hengchen, Simon and Alfter, David and Periti, Francesco and Cassotti, Pierluigi},
	year         = {2023},
	publisher    = {Association for Computational Linguistics},
	address      = {Stroudsburg, PA},
	ISBN         = {979-8-89176-043-1},
}