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Morphological Processing of Low-Resource Languages: Where We Are and What's Next

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A2SBUITQ6" target="_blank" >RIV/00216208:11320/22:2SBUITQ6 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2022.findings-acl.80" target="_blank" >https://aclanthology.org/2022.findings-acl.80</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2022.findings-acl.80" target="_blank" >10.18653/v1/2022.findings-acl.80</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Morphological Processing of Low-Resource Languages: Where We Are and What's Next

  • Original language description

    Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages. Having long been multilingual, the field of computational morphology is increasingly moving towards approaches suitable for languages with minimal or no annotated resources. First, we survey recent developments in computational morphology with a focus on low-resource languages. Second, we argue that the field is ready to tackle the logical next challenge: understanding a language's morphology from raw text alone. We perform an empirical study on a truly unsupervised version of the paradigm completion task and show that, while existing state-of-the-art models bridged by two newly proposed models we devise perform reasonably, there is still much room for improvement. The stakes are high: solving this task will increase the language coverage of morphological resources by a number of magnitudes.

  • 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

    2022

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Findings of the Association for Computational Linguistics: ACL 2022

  • ISBN

    978-1-955917-25-4

  • ISSN

  • e-ISSN

  • Number of pages

    20

  • Pages from-to

    988-1007

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

  • Event location

    Dublin, Ireland

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article