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» Learning Rules to Improve a Machine Translation System
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INTERSPEECH
2010
14 years 6 months ago
Combining many alignments for speech to speech translation
Alignment combination (symmetrization) has been shown to be useful for improving Machine Translation (MT) models. Most existing alignment combination techniques are based on heuri...
Sameer Maskey, Steven J. Rennie, Bowen Zhou
LREC
2008
141views Education» more  LREC 2008»
15 years 1 months ago
Creating Glossaries Using Pattern-Based and Machine Learning Techniques
One of the aims of the Language Technology for eLearning project is to show that Natural Language Processing techniques can be employed to enhance the learning process. To this en...
Eline Westerhout, Paola Monachesi
COLING
2008
15 years 1 months ago
Choosing the Right Translation: A Syntactically Informed Classification Approach
One style of Multi-Engine Machine Translation architecture involves choosing the best of a set of outputs from different systems. Choosing the best translation from an arbitrary s...
Simon Zwarts, Mark Dras
COLING
2008
15 years 1 months ago
Syntactic Reordering Integrated with Phrase-Based SMT
We present a novel approach to word reordering which successfully integrates syntactic structural knowledge with phrase-based SMT. This is done by constructing a lattice of altern...
Jakob Elming
COLING
2010
14 years 6 months ago
Integrating N-best SMT Outputs into a TM System
In this paper, we propose a novel framework to enrich Translation Memory (TM) systems with Statistical Machine Translation (SMT) outputs using ranking. In order to offer the human...
Yifan He, Yanjun Ma, Andy Way, Josef van Genabith