501 search results - page 18 / 101 » Improving Language Models by Clustering Training Sentences |
82
Voted
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Model M, a novel class-based exponential language model, has been shown to significantly outperform word n-gram models in state-of-the-art machine translation and speech recognit...
107
Voted
CEC
2010
IEEE
15 years 1 months ago
2010
IEEE
Unsupervised grammar induction is one of the most difficult works of language processing. Its goal is to extract a grammar representing the language structure using texts without a...
113
Voted
PROCEDIA
2010
14 years 10 months ago
2010
The use of tuned collective’s module of Open MPI to improve a parallelization efficiency of parallel batch pattern back propagation training algorithm of a multilayer perceptron...
NAACL
2007
15 years 1 months ago
2007
This paper presents a maximum entropy machine translation system using a minimal set of translation blocks (phrase-pairs). While recent phrase-based statistical machine translatio...
137
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ACL
2003
15 years 1 months ago
2003
This paper presents a Chinese word segmentation system that uses improved sourcechannel models of Chinese sentence generation. Chinese words are defined as one of the following fo...