Automatic Terminology Intelligibility Estimation for Readership-oriented Technical Writing

Yasuko Senda, Yasusi Sinohara, Manabu Okumura


Abstract
This paper describes automatic terminology intelligibility estimation for readership-oriented technical writing. We assume that the term frequency weighted by the types of documents can be an indicator of the term intelligibility for a certain readership. From this standpoint, we analyzed the relationship between the following: average intelligibility levels of 46 technical terms that were rated by about 120 laymen; numbers of documents that an Internet search
Anthology ID:
L06-1275
Volume:
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
Month:
May
Year:
2006
Address:
Genoa, Italy
Editors:
Nicoletta Calzolari, Khalid Choukri, Aldo Gangemi, Bente Maegaard, Joseph Mariani, Jan Odijk, Daniel Tapias
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/461_pdf.pdf
DOI:
Bibkey:
Cite (ACL):
Yasuko Senda, Yasusi Sinohara, and Manabu Okumura. 2006. Automatic Terminology Intelligibility Estimation for Readership-oriented Technical Writing. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).
Cite (Informal):
Automatic Terminology Intelligibility Estimation for Readership-oriented Technical Writing (Senda et al., LREC 2006)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2006/pdf/461_pdf.pdf