Title
Spell-checking based on syllabification and character-level graphs for a peruvian agglutinative language
Date Issued
01 January 2017
Access level
metadata only access
Resource Type
conference paper
Author(s)
Publisher(s)
Association for Computational Linguistics (ACL)
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.
Start page
109
End page
116
Language
English
OCDE Knowledge area
Lingüística
Otras ingenierías y tecnologías
Scopus EID
2-s2.0-85121457073
Resource of which it is part
EMNLP 2017 - 1st Workshop on Subword and Character Level Models in NLP, SCLeM 2017 - Proceedings of the Workshop
ISBN of the container
9781945626913
Sponsor(s)
For this study, the authors acknowledge the support of the “Consejo Nacional de Ciencia, Tec-nología e Innovación Tecnológica” (CONCYTEC Perú) under the contract 225-2015-FONDECYT.
Sources of information:
Directorio de Producción Científica
Scopus