1. A computer implemented method for integrating domain information and semantic parsing to generate meaning representations from natural language input, the method being implemented on a computer system having one or more physical processors programmed with computer program instructions to perform the method, the method comprising: receiving, by the computer system, a natural language input of a user comprising a natural language utterance in which at least a first input token has been uttered; providing, by the computer system, the natural language input to a speech-to-text recognizer; obtaining, by the computer system, one or more words of the natural language input as an output of the speech-to-text recognition recognizer, wherein the one or more words includes the first input token; obtaining, by the computer system, a semantic grammar that includes word combinations for intent processing and integrates a plurality of domain tokens relating to an information domain, wherein the semantic grammar integrates the plurality of domain tokens structured into a domain information Finite State Transducer (FST) parser that includes at least a first FST path comprising a first set of domain tokens and a second FST path comprising a second set of domain tokens; comparing, by the computer system, the plurality of domain tokens that match the first input token; generating, by the computer system, a first score for the first FST path and a second score for the second FST path based on the comparison; selecting, by the computer system, the first FST path based on the first score and the second score; determining, by the computer system, a semantic structure of the one or more words based on the selected first FST path; and generating, by the computer system, a representation of an intention of the user based on the semantic structure, wherein the representation is used to execute a natural language based search request or a natural language based command.