Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

MATREX: the DCU MT System for WMT 2008

Tinsley, John, Ma, Yanjun, Ozdowska, Sylwia and Way, Andy orcid logoORCID: 0000-0001-5736-5930 (2008) MATREX: the DCU MT System for WMT 2008. In: ACL08-SMT - Proceedings of ACL08 workshop on Statistical Machine Translation, 19 June 2008, Columbus, Ohio, USA..

Abstract
In this paper, we give a description of the machine translation system developed at DCU that was used for our participation in the evaluation campaign of the Third Workshop on Statistical Machine Translation at ACL 2008. We describe the modular design of our data driven MT system with particular focus on the components used in this participation. We also describe some of the significant modules which were unused in this task. We participated in the EuroParl task for the following translation directions: Spanish–English and French–English, in which we employed our hybrid EBMT-SMT architecture to translate. We also participated in the Czech–English News and News Commentary tasks which represented a previously untested language pair for our system. We report results on the provided development and test sets.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Machine translating
DCU Faculties and Centres:Research Institutes and Centres > National Centre for Language Technology (NCLT)
Publisher:Association for Computational Linguistics
Official URL:http://www.statmt.org/wmt08/
Copyright Information:© 2008 Association for Computational Linguistics
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, SFI 05/RF/CMS064, SFI OS/IN/1732
ID Code:559
Deposited On:15 Sep 2008 11:28 by DORAS Administrator . Last Modified 14 Nov 2018 16:47
Documents

Full text available as:

[thumbnail of Tinsleyetal_WMT08.pdf]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
90kB
Downloads

Downloads

Downloads per month over past year

Archive Staff Only: edit this record