Gramatika: A grammar checker for the low-resourced Filipino language

• Main Authors: Go, Matthew Phillip, Nocon, Nicco Louis S., Borra, Allan
• Format: text
• Published: Animo Repository 2017
• Subjects: Filipino language > Grammar; Computational linguistics; Computer Sciences
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/69
• Institution: De La Salle University

This research focuses on the implementation of Gramatika, a grammar checker designed for the Filipino language given its available resources and linguistic tools. The checker uses hybrid n-grams generated from n-grams of words, part-of-speech tags, and lemmas of grammatically-correct texts. It covers a variety of error types including those unique in Filipino: wrong word form, and incorrectly merged/unmerged words. The grammar checker performed 64% accuracy on producing the correct suggestions on erroneous phrases and 85% on error-free texts when using Part-of-Speech (POS) tags from a Hybrid POS tagger (HPOST) for Filipino. Recommendations to improve Gramatika is to implement linguistic tools such as constituency parser, incorrect affix detection system, and a spell checker for the Filipino language.