Hierarchical Bayesian Language Models for Conversational Speech Recognition

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Deep Learning: Methods and Applications (2014, methodology): “Before we discuss neural network based LMs, we note the use of hierarchical Bayesian priors in building up deep and recursive structure for LMs [174].”
A tutorial survey of architectures, algorithms, and applications for deep learning (2014, methodology): “Furthermore, the use of hierarchical Bayesian priors in building up deep and recursive structure in LM appeared in [204].”
An Overview of Deep-Structured Learning for Information Processing (2011, unknown): “Use of hierarchical Bayesian priors in building up deep and recursive structure in LM appeared recently in (Huang and Renals, 2010) D. Natural language processing and information retrieval In the popular work on natural language processing, the authors of (Collobert and Weston, 2008) developed and…”