Paper Info
Title
Language post positioned characteristic based Chinese-Vietnamese statistical machine translation method
Abstract
According to the typical characteristics of Vietnamese modifiers post positioned, a Chinese Vietnamese statistical machine translation method that fuses language post positioned characteristic function was proposed. In this method, firstly we analyzed the grammar differences between Chinese and Vietnamese, and extracted the difference of attribute position, adverbial position and qualifier order. Secondly we defined ordering block based on those difference, and added mapping method of ordering block to decoding algorithm in phrase based statistical machine translation model, then recorded N-best candidate translations and its score P produced by decoding. Thirdly reordered ordering block with language post positioned characteristic reordering algorithm and estimated score D by unconditional maximum likelihood probability distribution. Finally we chose the best translation based on score P and score D. We used lexicalized reordering model based phrase statistical machine translation as contrast experiment. The results of experiment show that our method effectively improves the quality of translation.
Year
DOI
Venue
2017
10.1109/IALP.2017.8300574
2017 International Conference on Asian Language Processing (IALP)
Keywords
Field
DocType
statistical machine translation,Chinese,Vietn amese,language post positioned
Adverbial,Pattern recognition,Characteristic function (probability theory),Computer science,Machine translation,Phrase,Grammar,Probability distribution,Artificial intelligence,Natural language processing,Vietnamese,Decoding methods
Conference
ISSN
ISBN
Citations 
2159-1962
978-1-5386-1982-7
0
PageRank 
References 
Authors
0.34
0
6
Name
Order
Citations
PageRank
Jianyalin He100.34
Zhengtao Yu246069.08
Changtao Lv300.34
Hua Lai400.68
Shengxiang Gao555.17
Yang Zhang600.34