Language modeling in speech recognition

One or more computer-readable storage devices having instructions stored thereon that, when executed by one or more computers, cause the one or more computers to perform operations comprising:

• providing a training set of text samples to a semantic parser that associates text samples with domains;
• obtaining data that indicates associations determined by the semantic parser between at least some of the text samples of the training set and one or more domains;
• generating a first subset of text samples that the semantic parser has associated with a first of the one or more domains;
• generating a first language model for the first of the one or more domains using the first subset of text samples that the semantic parser has associated with the first of the one or more domains;
• and
• performing speech recognition on an utterance using the first language model for the first of the one or more domains.

A system comprising:

• a repository of training data stored on one or more computers, the training data including a plurality of text samples in a natural language;
• a semantic parser, on the one or more computers, configured to process a set of text samples from the plurality of text samples to determine, for each text sample in the set of text samples, a domain associated with the text sample;
• a training set manager, on the one or more computers, configured to generate subsets of text samples that correspond to respective domains, wherein each subset of text samples includes text samples that the semantic parser has associated with the domain that corresponds to the subset of text samples;
• a language modeling engine, on the one or more computers, configured to generate a respective language model for each of the subsets of text samples;
• and
• a speech recognizer, on the one or more computers, configured to receive an utterance and to recognize the utterance using one or more of the language models that are generated for each of the subsets of text samples.