The role of morphosyntactic similarity in generating related sentences

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

1 Scopus citations

Abstract

In this paper we describe our work on Task 2: AmericasNLP 2024 Shared Task on the Creation of Educational Materials for Indigenous Languages. We tried three approaches, but only the third approach yielded improvement over the baseline system. The first system was a fairly generic transformer model. The second system was our own implementation of the edit tree approach from the baseline system. Our final attempt was a version of the baseline system where if no transformation succeeded, we applied transformations from similar morphosyntactic relations. We describe all three here, but, in the end, we only submitted the third system.

Original languageEnglish (US)
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
PublisherAssociation for Computational Linguistics (ACL)
Pages221-223
Number of pages3
ISBN (Electronic)9798891761087
DOIs
StatePublished - 2024
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

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