Further Experiments with Shallow Hybrid MT Systems

Christian Federmann, Andreas Eisele, Hans Uszkoreit, Yu Chen, Sabine Hunsicker, Jia Xu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

We describe our hybrid machine translation system which has been developed for and used in the WMT10 shared task. We compute translations from a rule-based MT system and combine the resulting translation “templates” with partial phrases from a state-of-the-art phrase-based, statistical MT engine. Phrase substitution is guided by several decision factors, a continuation of previous work within our group. For the shared task, we have computed translations for six language pairs including English, German, French and Spanish. Our experiments have shown that our shallow substitution approach can effectively improve the translation result from the RBMT system; however it has also become clear that a deeper integration is needed to further improve translation quality.

Original languageEnglish
Title of host publicationACL 2010 - Joint 5th Workshop on Statistical Machine Translation and MetricsMATR, WMT 2010, Proceedings of the Workshop
Pages77-81
Number of pages5
ISBN (Electronic)9781932432718
StatePublished - 2010
EventJoint 5th Workshop on Statistical Machine Translation and MetricsMATR, WMT 2010 at the 48th Conference of the Association for Computational Linguistics, ACL 2010 - Uppsala, Sweden
Duration: 15 Jul 201016 Jul 2010

Publication series

NameProceedings of the Annual Meeting of the Association for Computational Linguistics
ISSN (Print)0736-587X

Conference

ConferenceJoint 5th Workshop on Statistical Machine Translation and MetricsMATR, WMT 2010 at the 48th Conference of the Association for Computational Linguistics, ACL 2010
Country/TerritorySweden
CityUppsala
Period15/07/1016/07/10

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