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Research Article Open access CC BY 4.0

Ga-RBP: A Rule-based Parser for the Syntactic Analysis of the Ga Language of Ghana

Christian Otto, Callistus Ireneous Nakpih

Asian Journal of Research in Computer Science · pp. 1–10 · Published 11 Jun 2024

10.9734/ajrcos/2024/v17i7473

Abstract

This research presents a Parts of Speech (POS) corpus and a static rule-based technique, which we refer to as Ga Rule-based Parser (Ga-RBP), for the syntactic analysis and the parsing of sentences for the Ga language of Ghana. The technique is developed to parse sentences by utilising the POS tagged corpus; the corpus was developed by manually tagging the Ga words with their corresponding POS tags following a standard Ga-English dictionary and custom Tagset for the language. The syntax rules were computationally defined using production rules, which establish how a word should follow the other in the right sequence to form a correct grammatical statement based on their POS. The model generally analyses the sentence structure of the language to assert its syntactic state for correctness or otherwise.

Natural language processing parser parts of speech corpus syntactic analysis ga language

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