Automatic Interlinear Glossing for Otomi language

Diego Barriga Martínez, Victor Mijangos, Ximena Gutierrez-Vasques


Abstract
In linguistics, interlinear glossing is an essential procedure for analyzing the morphology of languages. This type of annotation is useful for language documentation, and it can also provide valuable data for NLP applications. We perform automatic glossing for Otomi, an under-resourced language. Our work also comprises the pre-processing and annotation of the corpus. We implement different sequential labelers. CRF models represented an efficient and good solution for our task. Two main observations emerged from our work: 1) models with a higher number of parameters (RNNs) performed worse in our low-resource scenario; and 2) the information encoded in the CRF feature function plays an important role in the prediction of labels; however, even in cases where POS tags are not available it is still possible to achieve competitive results.
Anthology ID:
2021.americasnlp-1.5
Volume:
Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas
Month:
June
Year:
2021
Address:
Online
Venues:
AmericasNLP | NAACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
34–43
Language:
URL:
https://aclanthology.org/2021.americasnlp-1.5
DOI:
10.18653/v1/2021.americasnlp-1.5
Bibkey:
Cite (ACL):
Diego Barriga Martínez, Victor Mijangos, and Ximena Gutierrez-Vasques. 2021. Automatic Interlinear Glossing for Otomi language. In Proceedings of the First Workshop on Natural Language Processing for Indigenous Languages of the Americas, pages 34–43, Online. Association for Computational Linguistics.
Cite (Informal):
Automatic Interlinear Glossing for Otomi language (Barriga Martínez et al., AmericasNLP 2021)
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PDF:
https://aclanthology.org/2021.americasnlp-1.5.pdf