2012. Entropy-based Pruning for Phrase-based Machine Translation. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language ...
Jul 12, 2012 · Phrase-based machine translation models have shown to yield better translations than. Word-based models, since phrase pairs en-.
Entropy-based Pruning for Phrase-based Machine Translation
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Jun 20, 2012 · In this work, we propose a relative entropy model for translation models, that measures how likely a phrase pair encodes a translation event ...
Jul 12, 2012 · In this work, we propose a relative entropy model for translation models, that measures how likely a phrase pair encodes a translation event ...
Jul 12, 2012 · In this work, we propose a relative entropy model for translation models, that measures how likely a phrase pair encodes a translation event ...
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Bibliographic details on Entropy-based Pruning for Phrase-based Machine Translation.
Entropy-based pruning resolves this issue by reducing the model size while retaining the translation quality. To safely reduce the size, this method detects ...
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[pruning algorithm] Pruning is a technique in machine learning that reduces the size of decision trees by removing sections of the tree that provide little ...
Abstract. Relative Entropy-based pruning has been shown to be efficient for pruning language models for more than a decade ago. Recently, this method has ...