Title :
Analogy-Based Machine Translation Using Secability
Author :
Kimura, Tomohiro ; Matsuoka, Junichi ; Nishikawa, Yoshihiro ; Lepage, Yves
Author_Institution :
Grad. Sch. of Inf., Production & Syst., Waseda Univ., Tokyo, Japan
Abstract :
The problem of reordering remains the main problem in machine translation. Computing structures of sentences and the alignment of substructures is a way that has been proposed to solve this problem. We use secability to compute structures and show its effectiveness in an example-based machine translation.
Keywords :
language translation; natural language processing; analogy-based machine translation; example-based machine translation; reordering problem; secability; sentence structure; substructure alignment; Computational intelligence; Computational linguistics; Educational institutions; Grammar; Indexes; Production; Scientific computing; Example-based machine translation; alignment; proportional analogy; secability; translation table;
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/CSCI.2014.142
