Analogy-Based Machine Translation Using Secability
Tatsuya Kimura, Jin Matsuoka, Yusuke Nishikawa, Yves Lepage · 2014
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.