Abstract

A language model (70) is used in a speech recognition system (60) which has access to a first, smaller data store (72) and a second, larger data store (74). The language model (70) is adapted by formulating an information retrieval query based on information contained in the first data store (72) and querying the second data store (74). Information retrieved from the second data store (74) is used in adapting the language model (70). Also, language models are used in retrieving information from the second data store (74). Language models are built based on information in the first data store (72), and based on information in the second data store (74). The perplexity of a document in the second data store (74) is determined, given the first language model, and given the second language model. Relevancy of the document is determined based upon the first and second perplexities. Documents are retrieved which have a relevancy measure that exceeds a threshold level.

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