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
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;
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
DOI :
10.1109/IITAW.2009.124