Abstract: Natural language query translation may be provided. A statistical model may be trained to detect domains according to a plurality of query click log data. Upon receiving a natural language query, the statistical model may be used to translate the natural language query into an action. The action may then be performed and at least one result associated with performing the action may be provided.

Abstract: An improved system and method using text features for click prediction of sponsored search advertising is provided. A maximum entropy click prediction model that predicts the click probability of query-advertisement pairs may be generated from click feedback features and word pair features of a query and an advertisement. The maximum entropy click prediction model may be used to obtain click probabilities for query-advertisement pairs to determine and serve a ranked list of advertisements for display with query results in an online keyword search auction. A search query may be received and word features from the search query may be input into the maximum entropy click prediction model to obtain click probabilities for query-advertisement pairs. A list of advertisements may be ranked using click probabilities for query-advertisement pairs, the list of ranked advertisements may be priced in an online search keyword auction and served for display with search query results.