CS 2018 - Third Workshop on Computational Approaches to Linguistic Code-switching

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 intersentential, intrasentential (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 workshop invites contributions from researchers working in NLP approaches for the analysis and processing of mixed-language data especially with a focus on intrasentential 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