Title :
A model for ranking sentence pairs in parallel corpora
Author :
Chen, Yi-Dong ; Shi, Xiao-Dong ; Zhou, Chang-Le ; Hong, Qing-Yang
Author_Institution :
Dept. of Comput. Sci., Xiamen Univ., China
Abstract :
In this paper, the problem of ranking sentence pairs in parallel corpora was addressed for the first time. To solve this problem, a novel model was proposed. In this model, both syntax features and semantics features of sentence pairs are considered. Since most today´s statistical machine translation models depend on word alignment, features related to word alignment information are also included. Two experiments were carried out and the results showed that the model had promising performance.
Keywords :
language translation; learning (artificial intelligence); statistical analysis; word processing; parallel corpora; sentence pair ranking; sentence pair semantics features; sentence pair syntax features; statistical machine translation model; word alignment; Computer science; Concurrent computing; Cybernetics; Large-scale systems; Machine learning; Statistical analysis; Surface-mount technology; Ranking; corpus revision; parallel corpora; statistical machine translation;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527605
