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Exploring the Impact of Transliteration on NLP Performance for Low-Resource Languages: The Case of Maltese and Arabic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A8VCVDYV8" target="_blank" >RIV/00216208:11320/23:8VCVDYV8 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2023.cawl-1.4/" target="_blank" >https://aclanthology.org/2023.cawl-1.4/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2023.cawl-1.4" target="_blank" >10.18653/v1/2023.cawl-1.4</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Exploring the Impact of Transliteration on NLP Performance for Low-Resource Languages: The Case of Maltese and Arabic

  • Original language description

    "Multilingual models such as mBERT have been demonstrated to exhibit impressive crosslingual transfer for a number of languages. Despite this, the performance drops for lowerresourced languages, especially when they are not part of the pre-training setup and when there are script differences. In this work we consider Maltese, a low-resource language of Arabic and Romance origins written in Latin script. Specifically, we investigate the impact of transliterating Maltese into Arabic scipt on a number of downstream tasks: Part-of-Speech Tagging, Dependency Parsing, and Sentiment Analysis."

  • 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

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    "Proceedings of the Workshop on Computation and Written Language (CAWL 2023)"

  • ISBN

    978-1-959429-90-6

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    22-32

  • Publisher name

    ""

  • Place of publication

    Toronto, Canada

  • Event location

    Toronto, Canada

  • Event date

    Jan 1, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article