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- |Title=SeMaT 2016 : AMTA 2016 Workshop on Semitic Machine Translation |Field=machine translation, semitic languages, NLP, machine learning ...334 bytes (35 words) - 04:30, 20 September 2016
- 3. Practices for building lexical transducers for the world's languages. ...ing systems/phonology under development, new non-Roman scripts, endangered languages ...9 KB (1,072 words) - 21:06, 14 October 2008