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» A Probability Model to Improve Word Alignment
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ACL
2008
13 years 9 months ago
Using Adaptor Grammars to Identify Synergies in the Unsupervised Acquisition of Linguistic Structure
Adaptor grammars (Johnson et al., 2007b) are a non-parametric Bayesian extension of Probabilistic Context-Free Grammars (PCFGs) which in effect learn the probabilities of entire s...
Mark Johnson
IJCNLP
2005
Springer
14 years 1 months ago
Phrase-Based Statistical Machine Translation: A Level of Detail Approach
The merit of phrase-based statistical machine translation is often reduced by the complexity to construct it. In this paper, we address some issues in phrase-based statistical mach...
Hendra Setiawan, Haizhou Li, Min Zhang, Beng Chin ...
TASLP
2008
207views more  TASLP 2008»
13 years 7 months ago
Joint Morphological-Lexical Language Modeling for Processing Morphologically Rich Languages With Application to Dialectal Arabic
Language modeling for an inflected language such as Arabic poses new challenges for speech recognition and machine translation due to its rich morphology. Rich morphology results i...
Ruhi Sarikaya, Mohamed Afify, Yonggang Deng, Hakan...
CIKM
2007
Springer
13 years 11 months ago
A segment-based hidden markov model for real-setting pinyin-to-chinese conversion
Hidden markov model (HMM) is frequently used for Pinyin-toChinese conversion. But it only captures the dependency with the preceding character. Higher order markov models can brin...
Xiaohua Zhou, Xiaohua Hu, Xiaodan Zhang, Xiajiong ...
ICASSP
2008
IEEE
14 years 2 months ago
Gaze-contingent asr for spontaneous, conversational speech: An evaluation
There has been little work that attempts to improve the recognition of spontaneous, conversational speech by adding information from a loosely-coupled modality. This study investi...
Neil Cooke, Martin J. Russell