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  • SeMaT 2016
    |Title=SeMaT 2016 : AMTA 2016 Workshop on Semitic Machine Translation |Field=machine translation, semitic languages, NLP, machine learning
    334 bytes (35 words) - 13:27, 17 February 2021
  • 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 (1,072 words) - 12:23, 17 February 2021
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