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RefCo and its Checker: Improving Language Documentation Corpora's Reusability Through a Semi-Automatic Review Process

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3ASGA377Z5" target="_blank" >RIV/00216208:11320/22:SGA377Z5 - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2022.lrec-1.291.pdf" target="_blank" >https://aclanthology.org/2022.lrec-1.291.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    RefCo and its Checker: Improving Language Documentation Corpora's Reusability Through a Semi-Automatic Review Process

  • Original language description

    The QUEST (QUality ESTablished) project aims at ensuring the reusability of audio-visual datasets (Wamprechtshammer et al., 2022) by devising quality criteria and curating processes. RefCo (Reference Corpora) is an initiative within QUEST in collaboration with DoReCo (Documentation Reference Corpus, Paschen et al. (2020)) focusing on language documentation projects. Previously, Aznar and Seifart (2020) introduced a set of quality criteria dedicated to documenting fieldwork corpora. Based on these criteria, we establish a semi-automatic review process for existing and work-in-progress corpora, in particular for language documentation. The goal is to improve the quality of a corpus by increasing its reusability. A central part of this process is a template for machine-readable corpus documentation and automatic data verification based on this documentation. In addition to the documentation and automatic verification, the process involves a human review and potentially results in a RefCo certification of the corpus. For each of these steps, we provide guidelines and manuals. We describe the evaluation process in detail, highlight the current limits for automatic evaluation and how the manual review is organized accordingly.

  • 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

    Proceedings of the 13th Conference on Language Resources and Evaluation (LREC 2022)

  • ISBN

    979-10-95546-72-6

  • ISSN

  • e-ISSN

  • Number of pages

    9

  • Pages from-to

    2721-2729

  • Publisher name

    European Language Resources Association (ELRA)

  • Place of publication

  • Event location

    Marseille, France

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article