Presentation 2001/7/10
Extraction of negative examples based on positive examples : automatic detection of mis-spelled Japanese expressions and relative clauses that do not have case relations with their heads
Masaki Murata, Hitoshi Isahara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We have developed a new method that can be used to extract negative examples based on positive examples. This method calculates the probability of the occurrence of a given example based on positive examples, and then determines an example that has a high probability of occurrence but does not appear in the set of positive examples to be a negative example. We have applied this method to two important problems: automatic detection of mis-spelled Japanese expressions and automatic extraction of relative clauses that do not have case relations with their heads. The results were positive for both problems, thus confirming the effectiveness and the applicability of our method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Negative Examples / Spelling Errors / Spell Checker / Non-Case Relational Relative Clause
Paper # NLC2001-23
Date of Issue

Conference Information
Committee NLC
Conference Date 2001/7/10(1days)
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Paper Information
Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Extraction of negative examples based on positive examples : automatic detection of mis-spelled Japanese expressions and relative clauses that do not have case relations with their heads
Sub Title (in English)
Keyword(1) Negative Examples
Keyword(2) Spelling Errors
Keyword(3) Spell Checker
Keyword(4) Non-Case Relational Relative Clause
1st Author's Name Masaki Murata
1st Author's Affiliation Keihanna Human Info-communication Research Center, Communications Research Laboratory()
2nd Author's Name Hitoshi Isahara
2nd Author's Affiliation Keihanna Human Info-communication Research Center, Communications Research Laboratory
Date 2001/7/10
Paper # NLC2001-23
Volume (vol) vol.101
Number (no) 190
Page pp.pp.-
#Pages 8
Date of Issue