DocumentCode :
2769576
Title :
Combining statistical models with symbolic grammar in parsing
Author :
Tsujii, Junichi
Author_Institution :
Tokyo Univ., Tokyo
fYear :
2007
fDate :
9-13 Dec. 2007
Firstpage :
377
Lastpage :
378
Abstract :
There are two streams of research in computational linguistics and natural language processing, the empiricist and rationalist traditions. Theories and computational techniques in these two streams have been developed separately and different in nature. Although the two traditions have been considered irreconcilable and have often been antagonistic toward each other, I have contention with this assertion, and thus claim that these two research streams in linguistics, despite or due to their differences, can be complementary to each other and should be combined into a unified methodology. I will demonstrate in my talk that there have been interesting developments in this direction of integration, and would like to discuss some of the recent results with their implications on engineering application.
Keywords :
computational linguistics; grammars; natural language processing; statistical analysis; computational linguistics; natural language processing; parsing; statistical model; symbolic grammar; Acoustical engineering; Computational linguistics; Computer science; Mathematical model; Natural language processing; Natural languages; Robustness; Speech recognition; Technical Activities Guide -TAG;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automatic Speech Recognition & Understanding, 2007. ASRU. IEEE Workshop on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-1746-9
Electronic_ISBN :
978-1-4244-1746-9
Type :
conf
DOI :
10.1109/ASRU.2007.4430140
Filename :
4430140
Link To Document :
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