Ga-RBP: A Rule-based Parser for the Syntactic Analysis of the Ga Language of Ghana
Christian Otto
Department of Computer Science, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.
Callistus Ireneous Nakpih *
Department of Computer Science, C. K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana.
*Author to whom correspondence should be addressed.
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.
Keywords: Natural language processing, parser, parts of speech corpus, syntactic analysis, ga language