Semantics is concerned with the meaning of words and a word with semantic features is corresponding to their sense component. Associating words with semantic features is useful in the field of machine translation. This paper present a methodology for analysis the Bangla sentences in semantic manner. This paper also focuses on the several primitive semantic features of Bangla words that are necessary for semantic analysis. Semantic features are shown in a tabular fashion with values indicating whether the features or inverse features are applicable and also whatever the features are redundant. Context free grammar and top-down approach have been used for the purpose of generating annotated parse tree with distinct semantic features in this paper. Model is tested for simple sentence of Bangla and test results reflect the successful results for most of the test cases.
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