1. A computer-implemented method, comprising: receiving, by an internet search service, multiple search queries that were sent by multiple respective computing devices, each of the multiple search queries including an occurrence of a particular term that is common to each of the multiple search queries, the multiple search queries having been entered textually by users of the multiple respective computing devices; applying, by a computing system and to the occurrences of the particular term in the multiple search queries, weightings based on chronological receipt of the multiple search queries such that the weightings favor recent occurrences of the particular term in the multiple search queries more heavily than older occurrences of the particular term in the multiple search queries; revising, by the computing system and based on the weightings that have been applied to the occurrences of the particular term in the multiple search queries, a probability that is assigned to the particular term in a language model; receiving, by the computing system and as having been sent by a remote computing system, a verbal input; and using the language model, by the computing system and after the revising of the probability, to identify a text translation of the verbal input, wherein the text translation of the verbal input includes the particular term.
1. A computer-implemented method, comprising: receiving, by an internet search service, multiple search queries that were sent by multiple respective computing devices, each of the multiple search queries including an occurrence of a particular term that is common to each of the multiple search queries, the multiple search queries having been entered textually by users of the multiple respective computing devices; applying, by a computing system and to the occurrences of the particular term in the multiple search queries, weightings based on chronological receipt of the multiple search queries such that the weightings favor recent occurrences of the particular term in the multiple search queries more heavily than older occurrences of the particular term in the multiple search queries; revising, by the computing system and based on the weightings that have been applied to the occurrences of the particular term in the multiple search queries, a probability that is assigned to the particular term in a language model; receiving, by the computing system and as having been sent by a remote computing system, a verbal input; and using the language model, by the computing system and after the revising of the probability, to identify a text translation of the verbal input, wherein the text translation of the verbal input includes the particular term. 2. The computer-implemented method of claim 1 , comprising: sending, by the computing system, the text translation of the verbal input to a search engine so as to cause the search engine to identify results that are responsive to the text translation of the verbal input and provide the results for transmission to the remote computing system.