Paper Info
Title
Naxi-English bilingual word alignment based on language feature model of Naxi.
Abstract
To achieve the corpus of Naxi - English bilingual words alignment, aim at syntactic characteristics of Naxi language. A Naxi-English bilingual words alignment method is proposed. This method uses the log-linear model, and introduces feature functions based on the characteristic of the Naxi language, which are English - Naxi interval switching function and Naxi - English bilingual words position transformation function. With the artificial labeling of Naxi - English words alignment corpus, the parameters of the model are trained by using the minimum error. The Naxi-English bilingual words are alignment automatically by this model. Experiments with IBM Model 3 as a benchmark, and gradually add constraints on the characteristics of the Naxi language with the basis of IBM Model 3. The final experiment results show that the Naxi - English bilingual word alignment accuracy can be improved significantly with the feature functions which are base on characteristic of Naxi. © 2011 IEEE.
Year
DOI
Venue
2011
10.1109/NLPKE.2011.6138176
NLPKE
Keywords
DocType
Volume
english,feature functions,interval switching function,log-linear model,naxi language,position transformation function,word alignment,natural language processing,log linear model,accuracy
Conference
null
Issue
Citations 
PageRank 
null
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Zhengtao Yu146069.08
Tao Zhang220240.44
Jianyi Guo32010.99
Cunli Mao45111.54
Jian Li544678.39