Automatic Detection of Mis-Spelled Japanese Expressions Using a New Method for Automatic Extraction of Negative Examples Based on Positive Examples

スポンサーリンク

概要

• 論文の詳細を見る

• We developed a method for extracting negative examples when only positive examples are given as supervised data. This method calculates the probability of occurrence of an input example, which should be judged to be positive or negative. It considers an input example that has a high probability of occurrence but does not appear in the set of positive examples as a negative example. We used this method for one of important tasks in natural language processing: automatic detection of misspelled Japanese expressions. The results showed that the method is effective. In this study, we also described two other methods we developed for the detection of misspelled expressions: a combined method and a "leaving-one-out" method. In our experiments, we found that these methods are also effective.

• 社団法人電子情報通信学会の論文
• 2002-09-01

著者

• Isahara H

  Communications Research Laboratory

• Murata Masaki

  Communications Research Laboratory

• Murata M

  Communications Research Laboratory

• ISAHARA Hitoshi

  Communications Research Laboratory

関連論文

• Automatic Detection of Mis-Spelled Japanese Expressions Using a New Method for Automatic Extraction of Negative Examples Based on Positive Examples
• Verb Ellipsis Resolution in Japanese Sentence Using Surface Expressions and Examples
• Numerical Model of the Strategy for Choosing Polite Expressions

スポンサーリンク