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ECML
2003
Springer
15 years 11 months ago
Learning Rules to Improve a Machine Translation System
In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to ...
David Kauchak, Charles Elkan
EMNLP
2011
14 years 5 months ago
Training a Parser for Machine Translation Reordering
We propose a simple training regime that can improve the extrinsic performance of a parser, given only a corpus of sentences and a way to automatically evaluate the extrinsic qual...
Jason Katz-Brown, Slav Petrov, Ryan T. McDonald, F...
EMNLP
2006
15 years 7 months ago
Re-evaluating Machine Translation Results with Paraphrase Support
In this paper, we present ParaEval, an automatic evaluation framework that uses paraphrases to improve the quality of machine translation evaluations. Previous work has focused on...
Liang Zhou, Chin-Yew Lin, Eduard H. Hovy
AMTA
1998
Springer
15 years 10 months ago
TransEasy: A Chinese-English Machine Translation System Based on Hybrid Approach
This paper describes the progress of a machine translation system from Chinese to English. The system is based on a reusable platform of MT software components. It's a rule-ba...
Qun Liu, Shiwen Yu
COLING
2010
15 years 29 days ago
Semantic Role Features for Machine Translation
We propose semantic role features for a Tree-to-String transducer to model the reordering/deletion of source-side semantic roles. These semantic features, as well as the Tree-to-S...
Ding Liu, Daniel Gildea