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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