Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3ALSCF3XF9" target="_blank" >RIV/00216208:11320/25:LSCF3XF9 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200257441&partnerID=40&md5=1b027ff381bbd08ed71b02623abd7692" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200257441&partnerID=40&md5=1b027ff381bbd08ed71b02623abd7692</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

Popis výsledku v původním jazyce

A majority of language technologies are tailored for a small number of high-resource languages, while relatively many low-resource languages are neglected. One such group, Creole languages, have long been marginalized in academic study, though their speakers could benefit from machine translation (MT). These languages are predominantly used in much of Latin America, Africa and the Caribbean. We present the largest cumulative dataset to date for Creole language MT, including 14.5 M unique Creole sentences with parallel translations—11.6 M of which we release publicly, and the largest bitexts gathered to date for 41 languages—the first ever for 21. In addition, we provide MT models supporting all 41 Creole languages in 172 translation directions. Given our diverse dataset, we produce a model for Creole language MT exposed to more genre diversity then ever before, which outperforms a genre-specific Creole MT model on its own benchmark for 23 of 34 translation directions. © 2024 Association for Computational Linguistics.

Název v anglickém jazyce

Kreyòl-MT: Building MT for Latin American, Caribbean and Colonial African Creole Languages

Popis výsledku anglicky

A majority of language technologies are tailored for a small number of high-resource languages, while relatively many low-resource languages are neglected. One such group, Creole languages, have long been marginalized in academic study, though their speakers could benefit from machine translation (MT). These languages are predominantly used in much of Latin America, Africa and the Caribbean. We present the largest cumulative dataset to date for Creole language MT, including 14.5 M unique Creole sentences with parallel translations—11.6 M of which we release publicly, and the largest bitexts gathered to date for 41 languages—the first ever for 21. In addition, we provide MT models supporting all 41 Creole languages in 172 translation directions. Given our diverse dataset, we produce a model for Creole language MT exposed to more genre diversity then ever before, which outperforms a genre-specific Creole MT model on its own benchmark for 23 of 34 translation directions. © 2024 Association for Computational Linguistics.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

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Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Proc. Conf. North American Chapter Assoc. Comput. Linguist.: Hum. Lang. Technol., NAACL

ISBN

979-889176114-8

ISSN

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e-ISSN

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Počet stran výsledku

28

Strana od-do

3083-3110

Název nakladatele

Association for Computational Linguistics (ACL)

Místo vydání

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Místo konání akce

Mexico City

Datum konání akce

1. 1. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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