DocumentCode
3545996
Title
Chinese-English Chunk Alignment Based on Anchor Chunk
Author
Sikuan, Wang ; Yanquan, Zhou
Author_Institution
Sch. of Comput. Sci., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2009
fDate
21-22 Nov. 2009
Firstpage
398
Lastpage
401
Abstract
A new statistical method called "bilingual chunking" for structure alignment is proposed. Different with the existing approaches which align hierarchical structures like sub-trees, our method conducts alignment on chunks. The alignment is finished through a simultaneous bilingual chunking algorithm. Using the constrains of chunk correspondence between source language (SL) and target language (TL), our algorithm can dramatically reduce search space, support time synchronous DP algorithm, and lead to highly consistent chunking. Furthermore, by unifying the POS tagging and chunking in the search process, our algorithm alleviates effectively the influence of POS tagging deficiency to the chunking result.
Keywords
dynamic programming; natural language processing; statistical analysis; Chinese-English chunk alignment; POS tagging; anchor chunk; dynamic programming; simultaneous bilingual chunking algorithm; source language; statistical method; target language; time synchronous DP algorithm; Application software; Computer science; Entropy; Information technology; Intelligent structures; Machine learning; Machine learning algorithms; Natural languages; Statistical analysis; Tagging; Phrase alignment; dynamic programming; machine learning; maximum entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application Workshops, 2009. IITAW '09. Third International Symposium on
Conference_Location
Nanchang
Print_ISBN
978-1-4244-6420-3
Electronic_ISBN
978-1-4244-6421-0
Type
conf
DOI
10.1109/IITAW.2009.124
Filename
5419598
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