Göm menyn

Proceedings of the 8th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2019), September 30, Turku Finland
Full text (pdf)
David Alfter: University of Gothenburg, Sweden University of Gothenburg, Sweden Elena Volodina: University of Gothenburg, Sweden Lars Borin: University of Gothenburg, Sweden Ildikó Pilán: City University of Hong Kong, China and University of Oslo, Norway Herbert Lange: University of Gothenburg and Chalmers University of Technology, Sweden
No. of pages:
Linköping Electronic Conference Proceedings
ISSN (print):
ISSN (online):
NEALT Proceedings Series
Linköping University Electronic Press, Linköpings universitet

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, insights from Second Language Acquisition (SLA) research, on the one hand, and promote 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 competences from these areas for sharing experiences and brainstorming around the future of the field.

We welcome papers:

  • that describe research directly aimed at ICALL;
  • that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning;
  • that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback;
  • that discuss challenges and/or research agenda for ICALL
  • that describe empirical studies on language learner data.

A special focus is given to the established and upcoming infrastructures aimed at SLA and learner corpus research, covering questions such as data collection, legal issues, reliability of annotation, annotation tool development, search environments for SLA-relevant data, etc.

We encourage paper presentations and software demonstrations describing the above-mentioned themes primarily, but not exclusively, for the Nordic languages.

Proceedings of the 8th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2019), September 30, Turku Finland

Drilon Avdiu, Vanessa Bui, Klára Ptacinová Klimci´ková
Predicting learner knowledge of individual words using machine learning
[Abstract and Fulltext]

Eckhard Bick
Automatic Generation and Semantic Grading of Esperanto Sentences in a Teaching Context
[Abstract and Fulltext]

Mathias Creutz, Eetu Eetu Sjöblom
Toward automatic improvement of language produced by non-native language learners
[Abstract and Fulltext]

Iria Iria del Río
Linguistic features and proficiency classification in L2 Spanish and L2 Portuguese
[Abstract and Fulltext]

Sabrina Dittrich, Zarah Weiss, Hannes Schröter, Detmar Meurers
Integrating large-scale web data and curated corpus data in a search engine supporting German literacy education
[Abstract and Fulltext]

Sylvain Hatier, Arnaud Bey, Mathieu Loiseau
Formalism for a language agnostic language learning game and productive grid generation
[Abstract and Fulltext]

Elma Kerz, Andreas Burgdorf, Daniel Wiechmann, Stefan Meeger, Yu Qiao, Christian Kohlschein, Tobias Meisen
Understanding Vocabulary Growth Through An Adaptive Language Learning System
[Abstract and Fulltext]

Margot Mieskes, Ulrike Padó
Summarization Evaluation meets Short-Answer Grading
[Abstract and Fulltext]

Ziwei Zhou, Sowmya Vajjala, Seyed Vahid Mirnezami
Experiments on Non-native Speech Assessment and its Consistency
[Abstract and Fulltext]

Ramon Ziai, Florian Nuxoll, Kordula De Kuthy, Björn Rudzewitz, Detmar Meurers
The Impact of Spelling Correction and Task Context on Short Answer Assessment for Intelligent Tutoring Systems
[Abstract and Fulltext]

Proceedings of the 8th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2019), September 30, Turku Finland

David Alfter, Elena Volodina, Lars Borin, Ildikó Pilán, Herbert Lange
Proceedings of the 8th Workshop on Natural Language Processing for Computer Assisted Language Learning (NLP4CALL 2019), September 30, Turku Finland
Note: the following are taken directly from CrossRef
No citations available at the moment

Responsible for this page: Peter Berkesand
Last updated: 2019-11-06