
Information Technology and Computer Application Engineering – Liu, Sung & Yao (Eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-00079-7
Phrase table filtration based on virtual context in phrase-based statistical
machine translation
Yue Yin, Yu Jie Zhang & Jin An Xu
Beijing Jiaotong University, Beijing, China
ABSTRACT: In statistical machine translation system, automatically extracted phrase table inevitably con-
tains a large number of errors and redundant phrase pairs, which causes excessive waste of time and space in
decoding and affects translation quality. In order to solve this problem, we propose a method for filtering phrase
table