Bangla to English translation engine

Abstract

This thesis work focuses on the issues in designing a translation engine for Bangia to English translation. Machine translation (MT) from one natural language to another is not an easy task. It requires extensive knowledge about the involved languages. Machine Translation is an emerging paradigm for processing natural languages. Machine Translation and Natural Language Processing (NLP) are being used by language industries for translating one language to another. MT invokes a variety of techniques for language translation and machine translation engines are developed using one of the techniques. The MT engine has been developed using linguistic knowledge (LK) architecture. The proposed translation engine can translate only simple BangIa sentences into English. It is upgradeable for translating other types of sentences. The translation process involves analysis the Bangia sentence syntactically, semantically and morphologically. After all sorts of analysis the tokens and grammatical information are transferred through the transfer component. The target system then generates output English sentence from the transferred tokens and grammars. Thus the translation process completes.