Presentation 2001/5/4
A Method of LR Table Compaction for Natural Language Processing and Speech Recognition
Tomoyosi AKIBA, Katunobu ITOU,
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Abstract(in English) This paper presents a method to reduce the number of states of the parsing table used for LR parsing algorithm. Particularly, it is intended to be used for natural language procesing and speech recognition. The proposed method can be implemented easily to both the existing LR table generation algorithm and the LR parsing algorithm, without making the parsing efficiency worse in theory. Our experimental results show that our method cut the number of states of LR table in half, and that the same result and efficiency is obtained by our method, as well as with the ordinary method, in both NLP and SR experiments. We also show several extensions of our method in order to apply it to the several extensional method of LR parsing, and iin order to reduce the number of states further.
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Keyword(in English) Generalized LR Parsing / Parsing Table Compaction / Natural Language Processing / Speech Recognition
Paper # NLC2001-4
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Committee NLC
Conference Date 2001/5/4(1days)
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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) A Method of LR Table Compaction for Natural Language Processing and Speech Recognition
Sub Title (in English)
Keyword(1) Generalized LR Parsing
Keyword(2) Parsing Table Compaction
Keyword(3) Natural Language Processing
Keyword(4) Speech Recognition
1st Author's Name Tomoyosi AKIBA
1st Author's Affiliation Information Technology Research Institute National Institute of Advanced Industrial Science and Technology()
2nd Author's Name Katunobu ITOU
2nd Author's Affiliation Information Technology Research Institute National Institute of Advanced Industrial Science and Technology
Date 2001/5/4
Paper # NLC2001-4
Volume (vol) vol.101
Number (no) 40
Page pp.pp.-
#Pages 8
Date of Issue