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Bootstrapping UMR Annotations for Arapaho from Language Documentation Resources

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A26FJEVX2" target="_blank" >RIV/00216208:11320/25:26FJEVX2 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195135114&partnerID=40&md5=80583b80dfbea89ba15d6f4cd2d9c9bf" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195135114&partnerID=40&md5=80583b80dfbea89ba15d6f4cd2d9c9bf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Bootstrapping UMR Annotations for Arapaho from Language Documentation Resources

  • Original language description

    Uniform Meaning Representation (UMR) is a semantic labeling system in the AMR family designed to be uniformly applicable to typologically diverse languages. The UMR labeling system is quite thorough and can be time-consuming to execute, especially if annotators are starting from scratch. In this paper, we focus on methods for bootstrapping UMR annotations for a given language from existing resources, and specifically from typical products of language documentation work, such as lexical databases and interlinear glossed text (IGT). Using Arapaho as our test case, we present and evaluate a bootstrapping process that automatically generates UMR subgraphs from IGT. Additionally, we describe and evaluate a method for bootstrapping valency lexicon entries from lexical databases for both the target language and English. We are able to generate enough basic structure in UMR graphs from the existing Arapaho interlinearized texts to automate UMR labeling to a significant extent. Our method thus has the potential to streamline the process of building meaning representations for languages without existing large-scale computational resources. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.

  • 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

    Jt. Int. Conf. Comput. Linguist., Lang. Resour. Eval., LREC-COLING - Main Conf. Proc.

  • ISBN

    978-249381410-4

  • ISSN

  • e-ISSN

  • Number of pages

    11

  • Pages from-to

    2447-2457

  • Publisher name

    European Language Resources Association (ELRA)

  • Place of publication

  • Event location

    Torino, Italia

  • Event date

    Jan 1, 2025

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article