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A Language-aware Approach to Code-switched Morphological Tagging

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10441748" target="_blank" >RIV/00216208:11320/21:10441748 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.26615/978-954-452-056-4_010" target="_blank" >https://doi.org/10.26615/978-954-452-056-4_010</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.26615/978-954-452-056-4_010" target="_blank" >10.26615/978-954-452-056-4_010</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    A Language-aware Approach to Code-switched Morphological Tagging

  • Original language description

    Morphological tagging of code-switching (CS) data becomes more challenging especially when language pairs composing the CS data have different morphological representations. In this paper, we explore a number of ways of implementing a language-aware morphological tagging method and present our approach for integrating language IDs into a transformer-based framework for CS morphological tagging. We perform our set of experiments on the Turkish-German SAGT Treebank. Experimental results show that including language IDs to the learning model significantly improves accuracy over other approaches.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computational Approaches to Linguistic Code-Switching, CALCS 2021 - Proceedings of the 5th Workshop

  • ISBN

    978-1-954085-45-9

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    72-83

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

    Stroudsburg

  • Event location

    online

  • Event date

    Jun 11, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article