Abstract
In this paper we describe our work on Task~2: Creation of Educational Materials. 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.- Anthology ID:
- 2024.americasnlp-1.26
- Volume:
- Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024)
- Month:
- June
- Year:
- 2024
- Address:
- Mexico City, Mexico
- Editors:
- Manuel Mager, Abteen Ebrahimi, Shruti Rijhwani, Arturo Oncevay, Luis Chiruzzo, Robert Pugh, Katharina von der Wense
- Venues:
- AmericasNLP | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 221–223
- Language:
- URL:
- https://aclanthology.org/2024.americasnlp-1.26
- DOI:
- Cite (ACL):
- Michael Hammond. 2024. The role of morphosyntactic similarity in generating related sentences. In Proceedings of the 4th Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP 2024), pages 221–223, Mexico City, Mexico. Association for Computational Linguistics.
- Cite (Informal):
- The role of morphosyntactic similarity in generating related sentences (Hammond, AmericasNLP-WS 2024)
- PDF:
- https://preview.aclanthology.org/jeptaln-2024-ingestion/2024.americasnlp-1.26.pdf