A new verb based approach for English to Bangla machine translation

• Published in: 2014 International Conference on Informatics, Electronics and Vision (ICIEV) pp. 1 - 6
• Main Authors: Rabbani, Masud, Alam, Kazi Md Rokibul, Islam, Muzahidul
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2014
• Subjects: Compounds; Conferences; English to Bangla; Human Language Technology; Informatics; Knowledge based systems; Natural Language Processing; Natural languages; Rule based Machine Translation; Tagging
• ISBN: 147995179X; 9781479951796
• DOI: 10.1109/ICIEV.2014.6850684

This paper proposes verb based machine translation (VBMT), a new approach of machine translation (MT) from English to Bangla (EtoB). For translation, it simplifies any form (i.e. simple, complex, compound, active and passive form) of English sentence into the simplest form of English sentence i.e. subject plus verb plus object. When compared with existing rule based EtoB MT schemes, VBMT doesn't employ exclusive or individual structural rules of various English sentences; it only detects the main verb from any form of English sentence and then transforms it into the simplest form of English sentence. Thus VBMT can translate from EtoB very simply, correctly and efficiently. Rule based EtoB MT is tough because it requires the matching of sentences with the stored rules. Moreover, many existing EtoB MT schemes which deploy rules are almost inefficient to translate complex or complicated sentences because it is difficult to match them with well-established rules of English grammar. VBMT is efficient because after identifying the main verb of any form of English sentence, it binds the remaining parts of speech (POS) as subject and object. VBMT has been successfully implemented for the MT of Assertive, Interrogative, Imperative, Exclamatory, Active-Passive, Simple, Complex, and Compound form of English sentences applicable in both desktop and mobile applications.