Papers by Héctor Erasmo Gómez Montoya

1 papers
SchAman: Spell-Checking Resources and Benchmark for Endangered Languages from Amazonia (2022.aacl-short)

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Challenge: Spell-checking as a generation task requires large amount of data, which is not feasible for endangered languages such as the languages spoken in Peru.
Approach: They propose to use augmented misspelling data to train neural spell-checking models for four endangered languages of Peru: Shipibo-Koniba, Asháninka, Yánesha, yine .
Outcome: The proposed model achieves better scores in most of the errors and languages in the four indigenous languages of Peru: Shipibo-Koniba, Asháninka, Yánesha, yine.

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