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» Approximation Lasso Methods for Language Modeling
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COLT
2004
Springer
14 years 1 months ago
Concentration Bounds for Unigrams Language Model
Abstract. We show several PAC-style concentration bounds for learning unigrams language model. One interesting quantity is the probability of all words appearing exactly k times in...
Evgeny Drukh, Yishay Mansour
ACL
1998
13 years 9 months ago
Japanese OCR Error Correction using Character Shape Similarity and Statistical Language Model
We present a novel OCR error correction method for languages without word delimiters that have a large character set, such as Japanese and Chinese. It consists of a statistical OC...
Masaaki Nagata
ACL
1997
13 years 9 months ago
Finite State Transducers Approximating Hidden Markov Models
This paper describes the conversion of a Hidden Markov Model into a sequential transducer that closely approximates the behavior of the stochastic model. This transformation is es...
André Kempe
LICS
2009
IEEE
14 years 2 months ago
Clipping: A Semantics-Directed Syntactic Approximation
In this paper we introduce “clipping,” a new method of syntactic approximation which is motivated by and works in conjunction with a sound and decidable denotational model for...
Dan R. Ghica, Adam Bakewell
ICASSP
2010
IEEE
13 years 8 months ago
Large margin estimation of n-gram language models for speech recognition via linear programming
We present a novel discriminative training algorithm for n-gram language models for use in large vocabulary continuous speech recognition. The algorithm uses large margin estimati...
Vladimir Magdin, Hui Jiang