• DocumentCode
    653730
  • Title

    The RACAI speech translation system challenges of morphologically rich languages

  • Author

    Tufis, Dan ; Boros, Tiberiu ; Dumitrescu, Stefan Daniel

  • Author_Institution
    Res. Inst. for Artificial Intell., Bucharest, Romania
  • fYear
    2013
  • fDate
    16-19 Oct. 2013
  • Firstpage
    1
  • Lastpage
    10
  • Abstract
    Recent advances in Multilingual Machine Translation and in Speech Processing, coupled with the unprecedented computing power increase of mobile devices, served by faster communication means, made possible the implementation of operational Speech to Speech (S2S) translation systems on smart phones and tablets. Through S2S, a text spoken in one language is automatically recognized, translated and synthesized in another language. This article presents an overview of the first version of our Android-based Romanian-English bi-directional speech translation system and covers the methods and technologies used for implementing it. To the best of our knowledge, this is the first bidirectional S2S for Romanian-English implemented on mobile devices.
  • Keywords
    language translation; mobile computing; natural language processing; smart phones; speech processing; Android-based Romanian-English bi-directional speech translation system; RACAI speech translation system challenge; S2S translation system; mobile devices; morphologically rich languages; multilingual machine translation; operational speech to speech translation systems; smart phones; speech processing; tablets; Accuracy; Natural language processing; Speech; Speech processing; Speech recognition; Tagging; Training; automatic speech recognition; machine translation; speech synthesis; speech to speech translation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Speech Technology and Human - Computer Dialogue (SpeD), 2013 7th Conference on
  • Conference_Location
    Cluj-Napoca
  • Type

    conf

  • DOI
    10.1109/SpeD.2013.6682657
  • Filename
    6682657