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A Scalable Distributed Syntactic,Semantic,and Lexical Language Model
Distributed Syntactic Semantic Lexical
2015/9/10
This paper presents an attempt at building a large scale distributed composite language model that is formed by seamlessly integrating an n-gram model, a structured language model, and probabilistic l...
Automatic Induction of Language Model Data for a Spoken Dialogue System
Language Model Data Spoken Dialogue System
2015/3/11
Automatic Induction of Language Model Data for a Spoken Dialogue System.
Language Model Data Filtering via User Simulation and Dialogue Resynthesis
Simulation Dialogue Resynthesis
2015/3/11
Language Model Data Filtering via User Simulation and Dialogue Resynthesis.
Style & Topic Language Model Adaptation Using HMM-LDA.
Iterative Language Model Estimation: Efficient Data Structure & Algorithms
language modeling smoothing interpolation
2015/3/10
Iterative Language Model Estimation: Efficient Data Structure & Algorithms.
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
Reducing Training Data Mismatch Cross-Domain Language Model Estimation
2015/3/10
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation.
Language Model Parameter Estimation Using User Transcriptions
speech recognition language modeling
2015/3/10
Language Model Parameter Estimation Using User Transcriptions.
Handling Uncertain Observations in Unsupervised Topic-Mixture Language Model Adaptation
language model latent topic model
2015/3/9
Handling Uncertain Observations in Unsupervised Topic-Mixture Language Model Adaptation.
HANDLING UNCERTAIN OBSERVATIONS IN UNSUPERVISED TOPIC-MIXTURE LANGUAGE MODEL ADAPTATION
language model latent topic model topic tracking confusion network
2014/11/27
We propose an extension to the recent approaches in topic-mixture modeling such as Latent Dirichlet Allocation and Topic Tracking Model for the purpose of unsupervised adaptation in speech recognition...
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
N-gram Weighing Data Mismatch Cross-Domain Language Model
2014/11/27
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngrams from such corpora m...
Iterative Language Model Estimation: Efficient Data Structure & Algorithms
language modeling smoothing interpolation
2014/11/27
Despite the availability of better performing techniques, most language models are trained using popular toolkits that do not support perplexity optimization. In this work, we present an efficient dat...
Style & Topic Language Model Adaptation Using HMM-LDA
Style & Topic Language Model Adaptation HMM-LDA
2014/11/27
Adapting language models across styles and topics, such as for lecture transcription, involves combining generic style models with topic-specific content relevant to the target document. In this work,...