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.
