SUMMARY : Session P7-T
Title | Automatic Terminology Intelligibility Estimation for Readership-oriented Technical Writing |
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Authors | Y. Senda, Y. Sinohara, M. 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 |
Keywords | Techninal Term, Intelligibility, Reader Model |
Full paper | Automatic Terminology Intelligibility Estimation for Readership-oriented Technical Writing |