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» Discriminative n-gram language modeling
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ICASSP
2011
IEEE
14 years 1 months ago
Deep Belief Networks using discriminative features for phone recognition
Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
EMNLP
2008
14 years 11 months ago
Refining Generative Language Models using Discriminative Learning
We propose a new approach to language modeling which utilizes discriminative learning methods. Our approach is an iterative one: starting with an initial language model, in each i...
Ben Sandbank
ACL
2006
14 years 11 months ago
Discriminative Pruning of Language Models for Chinese Word Segmentation
This paper presents a discriminative pruning method of n-gram language model for Chinese word segmentation. To reduce the size of the language model that is used in a Chinese word...
Jianfeng Li, Haifeng Wang, Dengjun Ren, Guohua Li
ACL
2007
14 years 11 months ago
A discriminative language model with pseudo-negative samples
In this paper, we propose a novel discriminative language model, which can be applied quite generally. Compared to the well known N-gram language models, discriminative language m...
Daisuke Okanohara, Jun-ichi Tsujii
ICASSP
2010
IEEE
14 years 9 months ago
Syntactic and sub-lexical features for Turkish discriminative language models
This paper investigates syntactic and sub-lexical features in Turkish discriminative language models (DLMs). DLM is a featurebased language modeling approach. It reranks the ASR o...
Ebru Arisoy, Murat Saraclar, Brian Roark, Izhak Sh...