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  • SeMaT 2016
    |Title=SeMaT 2016 : AMTA 2016 Workshop on Semitic Machine Translation |Field=machine translation, semitic languages, NLP, machine learning
    390 bytes (40 words) - 19:23, 1 April 2022
  • FSMNLP 2008
    3. Practices for building lexical transducers for the world's languages. ...ing systems/phonology under development, new non-Roman scripts, endangered languages
    9 KB (1,075 words) - 20:42, 1 April 2022
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