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IEICE TRANSACTIONS on Information

A Morpheme-Based Weighting for Chinese-Mongolian Statistical Machine Translation

Zhenxin YANG, Miao LI, Lei CHEN, Kai SUN

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Summary :

In this paper, a morpheme-based weighting and its integration method are proposed as a smoothing method to alleviate the data sparseness in Chinese-Mongolian statistical machine translation (SMT). Besides, we present source-side reordering as the pre-processing model to verify the extensibility of our method. Experi-mental results show that the morpheme-based weighting can substantially improve the translation quality.

Publication
IEICE TRANSACTIONS on Information Vol.E99-D No.11 pp.2843-2846
Publication Date
2016/11/01
Publicized
2016/08/18
Online ISSN
1745-1361
DOI
10.1587/transinf.2016EDL8080
Type of Manuscript
LETTER
Category
Natural Language Processing

Authors

Zhenxin YANG
  Chinese Academy of Sciences,University of Science and Technology of China
Miao LI
  Chinese Academy of Sciences
Lei CHEN
  Chinese Academy of Sciences
Kai SUN
  University of Science and Technology of China

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