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  • SeMaT 2016
    |Title=SeMaT 2016 : AMTA 2016 Workshop on Semitic Machine Translation |Field=machine translation, semitic languages, NLP, machine learning
    340 bytes (36 words) - 10:22, 8 March 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) - 11:27, 28 January 2021
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