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Efficient Machine Translation Decoding With Slow Language Models
16TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION (INTERSPEECH 2015), VOL..., pp.2376-2379, (2015)
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Abstract
Efficient decoding has been a fundamental problem in machine translation research. Usually a significant part of the computational complexity is found in the language model cost computations. If slow language models, such as neural network or maximum-entropy models are used, the computational complexity can be so high as to render decodin...More
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