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Fitting a Square Peg into a Round Hole: Creating a UniMorph dataset of Kanien'kéha Verbs

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3AWISYF7HX" target="_blank" >RIV/00216208:11320/25:WISYF7HX - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189622417&partnerID=40&md5=7d9f3cb5f01d9cd5c5353c5469d2e682" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189622417&partnerID=40&md5=7d9f3cb5f01d9cd5c5353c5469d2e682</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fitting a Square Peg into a Round Hole: Creating a UniMorph dataset of Kanien'kéha Verbs

  • Original language description

    This paper describes efforts to annotate a dataset of verbs in the Iroquoian language Kanien'kéha (a.k.a. Mohawk) using the UniMorph schema (Batsuren et al., 2022a). The dataset is based on the output of a symbolic model - a hand-built verb conjugator. Morphological constituents of each verb are automatically annotated with UniMorph tags. Overall the process was smooth but some central features of the language did not fall neatly into the schema which resulted in a large number of custom tags and a somewhat ad hoc mapping process. We think the same difficulties are likely to arise for other Iroquoian languages and perhaps other North American language families. This paper describes our decision making process with respect to Kanien'kéha and reports preliminary results of morphological induction experiments using the dataset. © 2024 Association for Computational Linguistics.

  • 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

    2024

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    ComputEL - Workshop Use Comput. Methods Study Endanger. Lang., Proc. Workshop

  • ISBN

    979-889176086-8

  • ISSN

  • e-ISSN

  • Number of pages

    13

  • Pages from-to

    39-51

  • Publisher name

    Association for Computational Linguistics (ACL)

  • Place of publication

  • Event location

    Hybrid, St. Julian'

  • Event date

    Jan 1, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article