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Título del libro: Proceedings Of The 1st Workshop On Natural Language Processing For Indigenous Languages Of The Americas, Americasnlp 2021
Título del capítulo: Automatic Interlinear Glossing for Otomi language

Autores UNAM:
DIEGO ALBERTO BARRIGA MARTINEZ; VICTOR GERMAN MIJANGOS DE LA CRUZ; MARIA XIMENA GUTIERREZ VASQUES;
Autores externos:

Idioma:

Año de publicación:
2021
Palabras clave:

Feature function; Pre-processing; Under-resourced languages


Resumen:

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 (accuracy above 90%). 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. © 2021 Association for Computational Linguistics


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