Evaluating machine translation with LFG dependencies |
| |
Authors: | Karolina Owczarzak Josef van Genabith Andy Way |
| |
Affiliation: | (1) School of Computing, Dublin City University, Glasnevin, Dublin 9, Ireland |
| |
Abstract: | In this paper we show how labelled dependencies produced by a Lexical-Functional Grammar parser can be used in Machine Translation evaluation. In contrast to most popular evaluation metrics based on surface string comparison, our dependency-based method does not unfairly penalize perfectly valid syntactic variations in the translation, shows less bias towards statistical models, and the addition of WordNet provides a way to accommodate lexical differences. In comparison with other metrics on a Chinese–English newswire text, our method obtains high correlation with human scores, both on a segment and system level. |
| |
Keywords: | Machine translation Evaluation metrics Lexical-Functional Grammar Labelled dependencies |
本文献已被 SpringerLink 等数据库收录! |
|