DocumentCode
2259479
Title
Research on Katakana phrase translation based on bi-directional integration
Author
Zhang, Guiping ; Gao, Yonglei ; Ji, Duo ; Ren, Xiaona
Author_Institution
Knowledge Eng. Res. Center, Shenyang Inst. of Aeronaut. Eng., Shenyang, China
fYear
2009
fDate
24-27 Sept. 2009
Firstpage
1
Lastpage
6
Abstract
In order to solve the problem of Katakana reduced to English in Japanese-English translation, we employ the phrase-based statistical machine translation model to perform Katakana phrase (or word) translation from Japanese to English. The Katakana phrase is segmented into words by CRF, and then Japanese-English and English-Japanese bi-directional integration translation is carried out on those segmented results. The translated results of all the segmented words are comprehensively scored to obtain the best English phrase translation result. The experimental results indicate that the Katakana phrase translation precision reaches 76%, effectively addresses the problem of the Katakana reduced to English.
Keywords
computational linguistics; language translation; natural language processing; statistical analysis; text analysis; Japanese-English translation; Katakana phrase translation; Katakana word translation; bidirectional integration; phrase-based statistical machine translation; word segmentation; Aerospace engineering; Bidirectional control; Dictionaries; Knowledge engineering; Natural languages; Terminology; Bi-directional Integration; Katakana; Phrase-based Statistical Machine Translation;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2009. NLP-KE 2009. International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-4538-7
Electronic_ISBN
978-1-4244-4540-0
Type
conf
DOI
10.1109/NLPKE.2009.5313753
Filename
5313753
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