Predicting Code-switching in Multilingual Communication for Immigrant Communities

Evangelos E. Papalexakis, Dong-Phuong Nguyen, A. Seza Doğruöz

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    Immigrant communities host multilingual speakers who switch across languages and cultures in their daily communication practices. Although there are in-depth linguistic descriptions of code-switching across different multilingual communication settings, there is a need for automatic prediction of code-switching in large datasets. We use emoticons and multi-word expressions as novel features to predict code-switching in a large online discussion forum for the Turkish-Dutch immigrant community in the Netherlands. Our results indicate that multi-word expressions are powerful features to predict code-switching.
    Original languageUndefined
    Title of host publicationProceedings of the First Workshop on Computational Approaches to Code Switching
    Place of PublicationStroudsburg, PA, USA
    PublisherAssociation for Computational Linguistics (ACL)
    Number of pages9
    ISBN (Print)978-1-937284-96-1
    Publication statusPublished - 25 Oct 2014
    EventFirst Workshop on Computational Approaches to Code Switching - Doha, Qatar
    Duration: 25 Oct 201425 Oct 2014

    Publication series

    PublisherAssociation for Computational Linguistics


    WorkshopFirst Workshop on Computational Approaches to Code Switching
    Other25 October 2014


    • EWI-25499
    • code-switching
    • METIS-309773
    • Social Media
    • IR-94058
    • natural language processing

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