Owczarzak, Karolina, van Genabith, Josef and Way, Andy 
ORCID: 0000-0001-5736-5930
(2007)
Labelled dependencies in machine translation evaluation.
In: ACL 2007 Workshop on Statistical Machine Translation, 23 June 2007, Prague, Czech Republic.
Abstract
We present a method for evaluating the quality of Machine Translation (MT) output, using labelled dependencies
produced by a Lexical-Functional Grammar (LFG) parser. Our dependency based method, in contrast to most popular
string-based evaluation metrics, does not unfairly penalize perfectly valid syntactic variations in the translation, and the addition of WordNet provides a way to accommodate lexical variation. In comparison with other metrics on 16,800
sentences of Chinese-English newswire text, our method reaches high correlation with human scores.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Uncontrolled Keywords: | machine translation evaluation; |
| Subjects: | Computer Science > Machine translating |
| DCU Faculties and Centres: | Research Institutes and Centres > National Centre for Language Technology (NCLT) DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
| Publisher: | Association for Computational Linguistics |
| Official URL: | http://www.aclweb.org/anthology/W/W07/ |
| Copyright Information: | © 2007 Association for Computational Linguistics |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| Funders: | Microsoft Ireland |
| ID Code: | 15221 |
| Deposited On: | 18 Feb 2010 11:24 by DORAS Administrator . Last Modified 16 Nov 2018 10:39 |
Documents
Full text available as:
Preview |
PDF
- Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
207kB |
Downloads
Downloads
Downloads per month over past year
Archive Staff Only: edit this record