Paper: A Novel Translation Framework Based on Rhetorical Structure Theory

ACL ID P13-2066
Title A Novel Translation Framework Based on Rhetorical Structure Theory
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

Rhetorical structure theory (RST) is widely used for discourse understanding, which repre- sents a discourse as a hierarchically semantic structure. In this paper, we propose a novel translation framework with the help of RST. In our framework, the translation process mainly includes three steps: 1) Source RST-tree ac- quisition: a source sentence is parsed into an RST tree; 2) Rule extraction: translation rules are extracted from the source tree and the tar- get string via bilingual word alignment; 3) RST-based translation: the source RST-tree is translated with translation rules. Experi- ments on Chinese-to-English show that our RST-based approach achieves improvements of 2.3/0.77/1.43 BLEU points on NIST04/NIST05/CWMT2008 respectively.