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The Development of a Comprehensive Data Set for Systematic Studies of Machine Translation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A90101%2F21%3A10442378" target="_blank" >RIV/00216208:90101/21:10442378 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Development of a Comprehensive Data Set for Systematic Studies of Machine Translation

  • Original language description

    This paper presents our on-going efforts to develop a comprehensive data set and benchmark for machine translation beyond highresource languages. The current release includes 500GB of compressed parallel data for almost 3,000 language pairs covering over 500 languages and language variants. We present the structure of the data set and demonstrate its use for systematic studies based on baseline experiments with multilingual neural machine translation between Uralic languages and other language groups. Our initial results show the capabilities of training effective multilingual translation models with skewed training data but also stress the shortcomings with low-resource settings and the difficulties to obtain sufficient information through straightforward transfer from related languages.

  • Czech name

  • Czech description

Classification

  • Type

    C - Chapter in a specialist book

  • 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

    2021

  • Confidentiality

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

Data specific for result type

  • Book/collection name

    Multilingual Facilitation

  • ISBN

    979-8-7133-6227-0

  • Number of pages of the result

    15

  • Pages from-to

    248-262

  • Number of pages of the book

    298

  • Publisher name

    University of Helsinki

  • Place of publication

    Helsinki

  • UT code for WoS chapter