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Title:
Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018
Download:
Full text (pdf)
Editor(s):
Ildikó Pilán: Språkbanken, University of Gothenburg Elena Volodina: University of Gothenburg, Sweden David Alfter: University of Gothenburg, Sweden Lars Borin: University of Gothenburg, Sweden
Year:
2018
No. of pages:
98
Language:
English
ISBN:
978-91-7685-173-9
Series:
Linköping Electronic Conference Proceedings
Issue:
152
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Issue:
36
Published:
2018-11-02
Publisher:
Linköping University Electronic Press, Linköpings universitet



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.

We invited submissions:

  • 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/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 was given to 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 and search environments for SLA-relevant data. We encouraged paper presentations and software demonstrations describing the above-mentioned themes primarily, but not exclusively, for the Nordic languages.



Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018

152:001
Lene Antonsen, Chiara Argese
Using authentic texts for grammar exercises for a minority language
[Abstract and Fulltext]

152:002
Adriane Boyd
Normalization in Context: Inter-Annotator Agreement for Meaning-Based Target Hypothesis Annotation
[Abstract and Fulltext]

152:003
Osama Hamed, Torsten Zesch
The Role of Diacritics in Increasing the Difficulty of Arabic Lexical Recognition Tests
[Abstract and Fulltext]

152:004
Inga Kempfert, Christine Köhn
An Automatic Error Tagger for German
[Abstract and Fulltext]

152:005
Herbert Lange, Peter Ljunglöf
Demonstrating the MUSTE Language Learning Environment
[Abstract and Fulltext]

152:006
Beéta Megyesi, Lena Granstedt, Sofia Johansson, Julia Prentice, Dan Rosén, Carl-Johan Schenström, Gunlög Sundberg, Mats Wirén, Elena Volodina
Learner Corpus Anonymization in the Age of GDPR: Insights from the Creation of a Learner Corpus of Swedish
[Abstract and Fulltext]

152:007
Margot Mieskes, Ulrike Pado
Work Smart - Reducing Effort in Short-Answer Grading
[Abstract and Fulltext]

152:008
Gerold Schneider, Johannes Graën
NLP Corpus Observatory – Looking for Constellations in Parallel Corpora to Improve Learners’ Collocational Skills
[Abstract and Fulltext]

152:009
Zarah Weiss, Sabrina Dittrich, Detmar Meurers
A Linguistically-Informed Search Engine to Identifiy Reading Material for Functional Illiteracy Classes
[Abstract and Fulltext]

152:010
Ramon Ziai, Björn Rudzewitz, Kordula De Kuthy, Florian Nuxoll, Detmar Meurers
Feedback Strategies for Form and Meaning in a Real-life Language Tutoring System
[Abstract and Fulltext]

Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018

Author:
Ildikó Pilán, Elena Volodina, David Alfter, Lars Borin
Title:
Proceedings of the 7th Workshop on NLP for Computer Assisted Language Learning (NLP4CALL 2018) at SLTC, Stockholm, 7th November 2018
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Last updated: 2019-11-06