25.3291, Calls: Computational Linguistics, Text/Corpus Linguistics/Sweden

The LINGUIST List linguist at linguistlist.org
Sat Aug 16 23:22:22 UTC 2014

LINGUIST List: Vol-25-3291. Sat Aug 16 2014. ISSN: 1069 - 4875.

Subject: 25.3291, Calls: Computational Linguistics, Text/Corpus Linguistics/Sweden

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Date: Sat, 16 Aug 2014 19:21:56
From: Elena Volodina [elena.volodina at svenska.gu.se]
Subject: 3rd Workshop on NLP for Computer-Assisted Language Learning

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Full Title: 3rd Workshop on NLP for Computer-Assisted Language Learning 
Short Title: 3rd NLP4CALL 

Date: 13-Nov-2014 - 13-Nov-2014
Location: Uppsala, Sweden 
Contact Person: Elena Volodina
Meeting Email: elena.volodina at svenska.gu.se
Web Site: http://spraakbanken.gu.se/eng/Research/ICALL/3rdNLP4CALL 

Linguistic Field(s): Computational Linguistics; Text/Corpus Linguistics 

Call Deadline: 25-Sep-2014 

Meeting Description:

Intelligent Computer-Assisted Language Learning (ICALL), i.e., the integration of Natural Language Processing (NLP) in language learning applications, is a rapidly developing area which has started to attract increased attention from the NLP community. ICALL research has generated a number of successful applications for alleviating a variety of (mechanical) tasks that teachers face daily in their work, for example grammar or spelling error marking, essay grading, preparation of text questions for reading activities, creating tests and exercises, etc.

However, reusing NLP methods or tools (developed for other than pedagogical purposes) in pedagogical applications is not always pedagogically justifiable since they need to be adapted to the educational tasks, e.g. readability measures for legal texts adapted to the second language learning context. Thus, NLP researchers who intend to re-use their algorithms and techniques in CALL applications need new datasets, specifically designed corpora, databases, etc. to fine-tune their tools for new target groups – the design and compilation of which are both critical for achieving good results and time-consuming.

There are other challenges that the area of NLP-based CALL faces: re-use and sharing of existing NLP components, copyright issues, standardization of pedagogical framework, lack of collaboration with end-users – to name just a few. Probably the most significant challenge is to make sure that the research results reach actual end-users in the form of tools which can become a part of the educational process, and which are both easy of use and have a pedagogically sound basis.

This workshop aims to bring together (computational) linguists involved in research aiming at integrating NLP in CALL systems and exploring the theoretical and methodological issues arising in this connection, with the purpose to share experiences, achievements and setbacks, and to discuss potential ways of addressing the challenges that need to be overcome.

2nd Call for Papers:

We welcome papers:

- That describe research directly aimed at ICALL
- That demonstrate actual or discuss potential use of existing NLP/ST tools or resources for language learning
- That describe 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. collecting and annotating learner corpora; developing tools and algorithms for readability analysis, selecting optimal corpus examples, etc.
- That discuss challenges and/or research agendas for ICALL
- We are also interested in software demonstrations

We especially invite submissions describing the above-mentioned themes for the Nordic languages.

LINGUIST List: Vol-25-3291	


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