[Corpora-List] 3rd Workshop on Computational Approaches to Linguistic Code-Switching (WCALCS 2018)

Sarvnaz.Karimi at data61.csiro.au Sarvnaz.Karimi at data61.csiro.au
Tue Mar 6 12:14:40 CET 2018


Final Call for Papers

=========================================================================== 3rd Workshop on Computational Approaches to Linguistic Code-Switching (WCALCS 2018) Colocated with ACL 2018 Melbourne, Australia, July 19, 2018

https://code-switching.github.io/2018/ [1] ===========================================================================

Code-switching (CS) is the phenomenon by which multilingual speakers switch back and forth between their common languages in written or spoken communication. CS is typically present on the inter-sentential, intra-sentential (mixing of words from multiple languages in the same utterance) and even morphological (mixing of morphemes) levels. CS presents serious challenges for language technologies such as Parsing, Machine Translation (MT), Automatic Speech Recognition (ASR), information retrieval (IR) and extraction (IE), and semantic processing. Traditional techniques trained for one language quickly break down when there is input mixed in from another. Even for problems that are considered solved, such as language identification, or part of speech tagging, performance degrades at a rate proportional to the amount and level of the mixed-language present.

This workshop aims to bring together researchers interested in solving the problem and increase community awareness of the possible viable solutions to reduce the complexity of the phenomenon. The program will include two invited speakers, including Pascale Fung from HKUS&T and a second speaker to be announced soon.

The workshop invites contributions from researchers working in NLP approaches for the analysis and processing of mixed-language data especially with a focus on intra-sentential code-switching. Topics of relevance to the workshop will include the following:

Development of linguistic resources to support research on code-switched data

NLP approaches for language identification in code-switched data

NLP approaches for named entity recognition in code-switched data

NLP techniques for the syntactic analysis of code-switched data

Domain/dialect/genre adaptation techniques applied to code-switched data processing

Language modeling approaches to code-switched data processing

Crowdsourcing approaches for the annotation of code-switched data

Machine translation approaches for code-switched data

Position papers discussing the challenges of code-switched data to NLP techniques

Methods for improving ASR in code switched data

Survey papers of NLP research for code-switched data

Sociolinguistic aspects of code-switching

Sociopragmatic aspects of code-switching

============================ Shared Task Competition ============================

As part of the workshop, a Shared Task on the topic of Named Entity Recognition (NER) in code-switched data is being organized. The goal is to allow participants to explore the use of supervised, semi-supervised and/or unsupervised approaches to predict the entity types of CS data. The training data for the task has already been released.

Participants for this shared task will be required to submit output of their systems within a pre-specified time window in order to qualify for evaluation in the shared task. They will also be required to submit a paper describing their system. More details about the Shared Task, including how to participate in it, are available at the workshop website.

============================ Submissions ============================

Authors are invited to submit papers describing original, unpublished work in the topic areas listed above. Full papers should not exceed eight pages. Additionally, authors are invited to submit short papers not exceeding 4 pages. Short papers usually describe:

- a small, focused contribution; - work in progress; - a negative result; - an opinion piece; or - an interesting application nugget.

All papers can have up to 2 pages of references. All submissions must be in PDF format and must conform to the official ACL 2018 style guidelines:

http://acl2018.org/call-for-papers/#acl-author-guidelines [2] (see Paper Submission and Templates for templates).

The reviewing process will be blind and papers should not include the authors' names and affiliations. Each submission will be reviewed by at least three members of the program committee. Accepted papers will be published in the workshop proceedings and available at the ACL Anthology.

Multiple Submission Policy. Papers that have been or will be submitted to other meetings or publications are acceptable, but authors must indicate this information at submission time. If accepted, authors must notify the organizers as to whether the paper will be presented at the workshop or elsewhere.

Electronic Submission. Papers should be submitted electronically at https://www.softconf.com/acl2018/CALCS [3].

================ Important Dates ================

Workshop dates:

April 30, 2018: Submission deadline for short and full papers May 14, 2018: Notification of acceptance May 21, 2018: Camera-ready papers due July 19, 2018: WCALCS workshop

Shared Task dates:

February 8, 2018: Training data release March 23, 2018: Test phase starts April 6, 2018: Test phase ends May 4, 2018: System description paper due May 14, 2018: Author feedback May 21, 2018: Camera-ready papers due

============ Organizers ============

Gustavo Aguilar - University of Houston Fahad AlGhamdi - George Washington University Victor Soto - Columbia University Thamar Solorio - University of Houston Mona Diab - George Washington University Julia Hirschberg - Columbia University

========= Contact =========

Contact details are available at the workshop website.

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