Shammi Akhtar

This research work describes a computer system for understanding the parsing of Bangla sentences. It draws on recent developments in Natural Language Processing (NLP) research to look at the past, present, and future of NLP technology in a new light. The research work of Bangla Language Processing (BLP) was started in late1980s in Bangladesh and it already produced some substantive results. NLP is a theory-motivated range of computational techniques for the automatic analysis and representation of human language. Here the researchers present a semantic parser for analyzing Bangla language semantics applying Bangla Lexicon. Semantic parsing augments the stratum of comprehension of NLP than the syntactic parsing, that is primarily indulges in untangling the syntactic ambiguities of the words. In this work, the researchers have tried to develop a Context-Free-Grammar (CFG) for semantic parser. It is the grammar that consist rules with a single symbol on the left-hand side of the rewrite rules. The researchers have tried to make a rule based grammar using CFG. Tokenize of sentence is extensive deed of this research. According to every token, the researchers present their pronunciation and morphological attachment. Finally, the researchers have analyzed Bangla language semantics applying Bangla lexicon.