14. A system comprising: a request processor to receive search terms, each of the search terms being terms in a language; an extractor for obtaining information related to recent usage in the language from recent search terms of the search terms, the recent search terms from recent search queries that were submitted by multiple users of a search engine within a predetermined period of time; means for selectively modifying a language model for the language that associates a respective baseline probability of occurrence with each of multiple different terms in the language, to independently revise the baseline probability occurrence associated with a particular term based at least on a quantity of occurrences of the particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time while maintaining unchanged a baseline probability of occurrence associated with a different term that does not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time by assigning a first probability to the particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time that is greater than a second probability for the different term that does not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time; and means for generating, by an automated speech recognizer using the modified language model, a transcription of one or more utterances of one or more different users of the search engine.
14. A system comprising: a request processor to receive search terms, each of the search terms being terms in a language; an extractor for obtaining information related to recent usage in the language from recent search terms of the search terms, the recent search terms from recent search queries that were submitted by multiple users of a search engine within a predetermined period of time; means for selectively modifying a language model for the language that associates a respective baseline probability of occurrence with each of multiple different terms in the language, to independently revise the baseline probability occurrence associated with a particular term based at least on a quantity of occurrences of the particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time while maintaining unchanged a baseline probability of occurrence associated with a different term that does not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time by assigning a first probability to the particular term in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time that is greater than a second probability for the different term that does not occur in the recent search queries that were submitted by the multiple users of the search engine within the predetermined period of time; and means for generating, by an automated speech recognizer using the modified language model, a transcription of one or more utterances of one or more different users of the search engine. 17. The system of claim 14 , wherein the particular term and the different term comprise terms for which the automated speech recognizer has uncertainty determining which of the terms was spoken.