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» A Hybrid Approach to Adaptive Statistical Language Modeling
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ACL
2012
13 years 5 months ago
Fast and Scalable Decoding with Language Model Look-Ahead for Phrase-based Statistical Machine Translation
In this work we present two extensions to the well-known dynamic programming beam search in phrase-based statistical machine translation (SMT), aiming at increased efficiency of ...
Joern Wuebker, Hermann Ney, Richard Zens
130
Voted
ICASSP
2008
IEEE
15 years 10 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
NIPS
2004
15 years 4 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
128
Voted
ACL
2010
15 years 1 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
120
Voted
REFLECTION
2001
Springer
15 years 8 months ago
A Hybrid Approach to Separation of Concerns: The Story of SADES
A number of approaches have been proposed to achieve separation of concerns. Although all these approaches form suitable candidates for separating cross-cutting concerns in a syste...
Awais Rashid