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NIPS
2004
13 years 11 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...
JUCS
2006
107views more  JUCS 2006»
13 years 10 months ago
Testing Membership in Formal Languages Implicitly Represented by Boolean Functions
Abstract: Combinatorial property testing, initiated formally by Goldreich, Goldwasser, and Ron in [Goldreich et al. (1998)] and inspired by Rubinfeld and Sudan in [Rubinfeld and Su...
Beate Bollig
EMNLP
2010
13 years 8 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
ACL
1990
13 years 11 months ago
Deterministic Left to Right Parsing of Tree Adjoining Languages
We define a set of deterministic bottom-up left to right parsers which analyze a subset of Tree Adjoining Languages. The LR parsing strategy for Context Free Grammars is extended ...
Yves Schabes, K. Vijay-Shanker
SIGIR
2008
ACM
13 years 10 months ago
A general optimization framework for smoothing language models on graph structures
Recent work on language models for information retrieval has shown that smoothing language models is crucial for achieving good retrieval performance. Many different effective smo...
Qiaozhu Mei, Duo Zhang, ChengXiang Zhai