• DocumentCode
    2449403
  • Title

    Automatic assessment of easiness of Japanese for writing aid of “Easy Japanese”

  • Author

    Zhang, Meng ; Ito, Akinori ; Sato, Kazuyuki

  • fYear
    2012
  • fDate
    16-18 July 2012
  • Firstpage
    303
  • Lastpage
    307
  • Abstract
    In this paper, we developed a method to assess easiness of a Japanese sentence for a non-native speaker of Japanese. This method is intended to be used as a writing aid of Easy Japanese (EJ), which is used as a language to convey information to foreigners in Japan under emergency condition such as earthquake. We examined six features (number of words, nouns, verbs, phrases, and loanwords in the sentence, and the average grade of words in the sentence) as features, and used linear regression model to combine the features. As a result of evaluation experiment, we obtained correlation coefficient of 0.55 between the predicted scores and the easiness scores given by human subjects.
  • Keywords
    earthquakes; emergency services; natural language processing; regression analysis; word processing; EJ language; Easy Japanese language; automatic Japanese sentence easiness assessment; average word grade; correlation coefficient; earthquake; emergency condition; human subjects; linear regression model; loanwords; nonnative speaker; nouns; number of words; phrases; verbs; writing aid; Correlation; Earthquakes; Educational institutions; Guidelines; Tsunami; Vocabulary; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Audio, Language and Image Processing (ICALIP), 2012 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4673-0173-2
  • Type

    conf

  • DOI
    10.1109/ICALIP.2012.6376630
  • Filename
    6376630