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/v17i7473Abstract
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.
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