Spell-checking based on syllabification and character-level graphs for a peruvian agglutinative language

Carlo Alva, Arturo Oncevay-Marcos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

There are several native languages in Peru which are mostly agglutinative. These languages are transmitted from generation to generation mainly in oral form, causing different forms of writing across different communities. For this reason, there are recent efforts to standardize the spelling in the written texts, and it would be beneficial to support these tasks with an automatic tool such as a spell-checker. In this way, this spelling corrector is being developed based on two steps: An automatic rule-based syllabification method and a character-level graph to detect the degree of error in a misspelled word. The experiments were realized on Shipibo-konibo, a highly agglutinative and Amazonian language, and the results obtained have been promising in a dataset built for the purpose.

Original languageEnglish
Title of host publicationEMNLP 2017 - 1st Workshop on Subword and Character Level Models in NLP, SCLeM 2017 - Proceedings of the Workshop
EditorsManaal Faruqui, Hinrich Schutze, Isabel Trancoso, Yaghoobzadeh Yadollah
PublisherAssociation for Computational Linguistics (ACL)
Pages109-116
Number of pages8
ISBN (Electronic)9781945626913
DOIs
StatePublished - 2017
EventEMNLP 2017 1st Workshop on Subword and Character Level Models in NLP, SCLeM 2017 - Copenhagen, Denmark
Duration: 7 Sep 2017 → …

Publication series

NameEMNLP 2017 - 1st Workshop on Subword and Character Level Models in NLP, SCLeM 2017 - Proceedings of the Workshop

Conference

ConferenceEMNLP 2017 1st Workshop on Subword and Character Level Models in NLP, SCLeM 2017
Country/TerritoryDenmark
CityCopenhagen
Period7/09/17 → …

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