Summary of the paper

Title Automatic Assessment of Japanese Text Readability Based on a Textbook Corpus
Authors Satoshi Sato, Suguru Matsuyoshi and Yohsuke Kondoh
Abstract This paper describes a method of readability measurement of Japanese texts based on a newly compiled textbook corpus. The textbook corpus consists of 1,478 sample passages extracted from 127 textbooks of elementary school, junior high school, high school, and university; it is divided into thirteen grade levels and the total size is about a million characters. For a given text passage, the readability measurement method determines the grade level to which the passage is the most similar by using character-unigram models, which are constructed from the textbook corpus. Because this method does not require sentence-boundary analysis and word-boundary analysis, it is applicable to texts that include incomplete sentences and non-regular text fragments. The performance of this method, which is measured by the correlation coefficient, is considerably high (R > 0.9); in case that the length of a text passage is limited in 25 characters, the correlation coefficient is still high (R = 0.83).
Language Single language
Topics Tools, systems, applications, Authoring tools, proofing, Corpus (creation, annotation, etc.)
Full paper Automatic Assessment of Japanese Text Readability Based on a Textbook Corpus
Slides -
Bibtex @InProceedings{SATO08.165,
  author = {Satoshi Sato, Suguru Matsuyoshi and Yohsuke Kondoh},
  title = {Automatic Assessment of Japanese Text Readability Based on a Textbook Corpus},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

Powered by ELDA © 2008 ELDA/ELRA