Style & topic language model adaptation using HMM-LDA

EMNLP, pp. 373-381, 2006.

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generic style modeltarget documentadapting language modeltraditional bag-of-words topic modelreduced perplexityMore(12+)

Abstract:

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, we investigate the use of the Hidden Markov Model with Latent Dirichlet Allocation (HMM-LDA) to obtain syntactic state and semantic topic a...More

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