Work

The University of Washington machine translation system for ACL WMT 2008

Year: 2008

Type: conference-paper

Abstract: This paper present the University of Washington's submission to the 2008 ACL SMT shared machine translation task. Two systems, for English-to-Spanish and German-to-Spanish translation are described. Our main focus was on testing a novel boosting framework for N-best list reranking and on handling German morphology in the German-to-Spanish system. While boosted N-best list reranking did not yield any improvements for this task, simplifying German morphology as part of the preprocessing step did result in significant gains.

Source: Conference on Machine Translation (WMT)

DOI: 10.3115/1626394.1626408

Authors: Amittai Axelrod, Mei Yang, Kevin Duh, Katrin Kirchhoff

Institution: University of Washington

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funder: National Science Foundation

Awards: Using Machine Translation to Bootstrap Speech Recognition Systems, ITR: Applying Translation Technology to Language Modeling