RECENT TRENDS IN SMT By M.Balamurugan, Phd Research Scholar, Department of Computer Applications, Madurai Kamaraj University

Machine Translation Machine translation (MT) is a sub-field of computational linguistics which automatically translate a text or speech from one language to another language. MT Source Language Target Language

Approaches for Translation

Approaches for SMT Example-Based Hybrid MT It is a method of machine translation often characterized by its use of a bilingual corpus with parallel texts as its main knowledge base at run-time. Hybrid MT Hybrid machine translation (HMT) leverages the strengths of statistical and rule-based translation methodologies.

Input for Machine Translation Word by Word Translation Phrase By Phrase Translation Sentence by Sentence Translation(New)

Recent Trends Google Neural Machine Translation System (Nov,2016) English, French, German, Spanish, Portuguese, Chinese, Japanese, Korean and Turkish (2016). Russian, Hindi and Vietnamese (March,2017). Microsoft Deep Neural Network Machine Translation System (Nov, 2016) Arabic, Chinese Mandarin, English, French, German, Italian, Brazilian Portuguese, Russian, Spanish and Japanese

Old Translation System I have a red pen (English) நான் ஒரு சிவப்பு பேனா வேண்டும் (Tamil)

New Translation System I have a red pen (English) நான் ஒரு சிவப்பு பேனா வைத்திருக்கிறேன் (Tamil)

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