DocumentCode
3300266
Title
Bootstrapping word alignment by automatically generated bilingual dictionary
Author
Zhu, Danqing ; Chang, Baobao
Author_Institution
Inst. of Comput. Linguistics, Peking Univ., Beijing
fYear
2008
fDate
19-22 Oct. 2008
Firstpage
1
Lastpage
7
Abstract
This paper presents a new approach to improve the word alignment. Building a bilingual dictionary is one of the main applications for word alignment. However, the research of using the bilingual dictionary to improve the word alignment is not enough. There are two bottlenecks. The first is that large bilingual dictionary is hard to get. The second is that the normal approach of using bilingual dictionary does not make full use of the dictionary. We designed a bootstrapping algorithm to conquer the bottlenecks, achieving a good result.
Keywords
dictionaries; language translation; natural language processing; automatically generated bilingual dictionary; bootstrapping algorithm; word alignment; Data engineering; Dictionaries; Information retrieval; Libraries; Natural languages; Optical computing; Performance evaluation; Relational databases; Spatial databases; Testing; Bootstrapping; Machine Learning; Word Alignment;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08. International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-4515-8
Electronic_ISBN
978-1-4244-2780-2
Type
conf
DOI
10.1109/NLPKE.2008.4906750
Filename
4906750
Link To Document