LLM-Assisted Rule Based Machine Translation for Low/No-Resource Languages

  • Jared Coleman
  • , Bhaskar Krishnamachari
  • , Khalil Iskarous
  • , Ruben Rosales

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a new paradigm for machine translation that is particularly useful for no-resource languages (those without any publicly available bilingual or monolingual corpora): LLM-RBMT (LLM-Assisted Rule Based Machine Translation). Using the LLM-RBMT paradigm, we design the first language education/revitalization-oriented machine translator for Owens Valley Paiute (OVP), a critically endangered Indigenous American language for which there is virtually no publicly available data. We present a detailed evaluation of the translator's components: a rule-based sentence builder, an OVP to English translator, and an English to OVP translator. We also discuss the potential of the paradigm, its limitations, and the many avenues for future research that it opens up.
Original languageEnglish
Title of host publicationAmericasNLP 2024 - 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas - Proceedings of the Workshop
EditorsManuel Mager, Abteen Ebrahimi, Shruti Rijhwani, Arturo Oncevay, Luis Chiruzzo, Robert Pugh, Katharina von der Wense, Katharina von der Wense
PublisherAssociation for Computational Linguistics (ACL)
Pages67-87
Number of pages21
ISBN (Electronic)9798891761087
DOIs
StatePublished - 2024
Externally publishedYes
Event4th Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2024 - Mexico City, Mexico
Duration: Jun 21 2024 → …

Publication series

NameAmericasNLP 2024 - 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas - Proceedings of the Workshop

Conference

Conference4th Workshop on Natural Language Processing for Indigenous Languages of the Americas, AmericasNLP 2024
Country/TerritoryMexico
CityMexico City
Period6/21/24 → …

ASJC Scopus Subject Areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

Keywords

  • cs.CL

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