Presentation 1999/7/26
Automatic Acquisition of Syntactic Rules from Non-Preprocessed Corpus
Hideyuki Shibuki, Kenji Araki, Koji Tochinai,
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Abstract(in English) We have done research on Natural Language Processing using inductive learning, and have already presented some researches on acquisition of words. We attempt to acquire CFG rules from non-preprocessed sentences on the condition that morphological and syntactic analysis adds tags needed for the acquisition to the sentences. The analysis can not always add the complete information to the sentences, because rules for the analysis are also acquired. If learning completes the lacks of information, the rules can adapt themselves to actual sentences. However, the most of methods for the analysis can not add the incomplete information, because the methods can analyze sentences on the assumption that there are enough rules for analysis. We proposed Graft Method that can analyze sentences on any condition of amounts of words and CFG rules.
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Keyword(in English) Morphological analysis / Syntactic analysis / Inductive learning / Context-Free Grammar
Paper # TL99-8
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Conference Date 1999/7/26(1days)
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Registration To Thought and Language (TL)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Acquisition of Syntactic Rules from Non-Preprocessed Corpus
Sub Title (in English)
Keyword(1) Morphological analysis
Keyword(2) Syntactic analysis
Keyword(3) Inductive learning
Keyword(4) Context-Free Grammar
1st Author's Name Hideyuki Shibuki
1st Author's Affiliation Division of Electronics and Information Engineering, Graduate School of Engineering, Hokkaido University()
2nd Author's Name Kenji Araki
2nd Author's Affiliation Division of Electronics and Information Engineering, Graduate School of Engineering, Hokkaido University
3rd Author's Name Koji Tochinai
3rd Author's Affiliation Division of Electronics and Information Engineering, Graduate School of Engineering, Hokkaido University
Date 1999/7/26
Paper # TL99-8
Volume (vol) vol.99
Number (no) 237
Page pp.pp.-
#Pages 8
Date of Issue