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Automatic Verb Classifier for Abui (AVC-abz)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F22%3A00561726" target="_blank" >RIV/67985556:_____/22:00561726 - isvavai.cz</a>

  • Alternative codes found

    RIV/61989592:15210/22:73618983

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Automatic Verb Classifier for Abui (AVC-abz)

  • Original language description

    We present an automatic verb classifier system that identifies inflectional classes in Abui (AVC-abz), a Papuan language of the Timor-Alor-Pantar family. The system combines manually annotated language data (the learning set) with the output of a morphological precision grammar (corpus data). The morphological precision grammar is trained on a fully glossed smaller corpus and applied to a larger corpus. Using the k-means algorithm, the system clusters inflectional classes discovered in the learning set. In the second step, Naive Bayes algorithm assigns the verbs found in the corpus data to the best-fitting cluster. AVC-abz serves to advance and refine the grammatical analysis of Abui as well as to monitor corpus coverage and its gradual improvement.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    60203 - Linguistics

Result continuities

  • Project

    <a href="/en/project/GA20-18407S" target="_blank" >GA20-18407S: Verb Class Analysis Accelerator for Low-Resource Languages - RoboCorp</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

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

    Proceedings of the Workshop on Resources and Technologies for Indigenous, Endangered and Lesser-resourced Languages in Eurasia within the 13th Language Resources and Evaluation Conference

  • ISBN

    978-2-493814-07-4

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    42-50

  • Publisher name

    European Language Resources Association

  • Place of publication

    Paris

  • Event location

    Marseille

  • Event date

    Jun 20, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article