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
