Abstract: A spoken language understanding apparatus according to embodiments of the present disclosure may include: a slot tagging module including: a morpheme analysis unit configured to analyze morphemes with respect to an uttered sentence, a slot tagging unit configured to tag slots corresponding to a semantic entity from a plurality of input tokens generated according to the analyzed morphemes, and a slot name conversion unit configured to convert phrases corresponding to the tagged slots into delexicalized slot names based on neighboring contextual information; and a language generation module configured to generate a combined sequence by combining the delexicalized slot names based on the plurality of input tokens.

Abstract: An apparatus for recommending a function of a vehicle includes an input module, a memory, an output module, and a processor. The processor obtains intention information indicating an action associated with each of a plurality of sentences, nuance information indicating a positive, neutral, or negative meaning included in each of the plurality of sentences, and one or more keywords for executing a function associated with the intention information among a plurality of functions embedded in the vehicle by analyzing each of the plurality included in the conversation, determines a task, associated with the function, to be recommended to at least some of the plurality of users, based on the intention information, the nuance information, and the one or more keywords, and outputs a message of recommending the task using the output module, when the end of the conversation is recognized.

Abstract: A user input processing apparatus for a vehicle includes: an operation command generator recognizing a first semantic frame from a user voice, generating a first operation command based on the recognized first semantic frame, recognizing a second semantic frame from the user voice, and generating a second operation command based on the recognized second semantic frame; a sequence determination unit generating an execution sequence of the first operation command and the second operation command; and a controller controlling an execution of the first operation command and the second operation command based on the generated execution sequence and a relation between the first operation command and the second operation command.

Abstract: A spoken language understanding apparatus according to embodiments of the present disclosure may include: a slot tagging module including: a morpheme analysis unit configured to analyze morphemes with respect to an uttered sentence, a slot tagging unit configured to tag slots corresponding to a semantic entity from a plurality of input tokens generated according to the analyzed morphemes, and a slot name conversion unit configured to convert phrases corresponding to the tagged slots into delexicalized slot names based on neighboring contextual information; and a language generation module configured to generate a combined sequence by combining the delexicalized slot names based on the plurality of input tokens.

Abstract: An apparatus for recommending a function of a vehicle includes an input module, a memory, an output module, and a processor. The processor obtains intention information indicating an action associated with each of a plurality of sentences, nuance information indicating a positive, neutral, or negative meaning included in each of the plurality of sentences, and one or more keywords for executing a function associated with the intention information among a plurality of functions embedded in the vehicle by analyzing each of the plurality included in the conversation, determines a task, associated with the function, to be recommended to at least some of the plurality of users, based on the intention information, the nuance information, and the one or more keywords, and outputs a message of recommending the task using the output module, when the end of the conversation is recognized.

Abstract: A user input processing apparatus for a vehicle includes: an operation command generator recognizing a first semantic frame from a user voice, generating a first operation command based on the recognized first semantic frame, recognizing a second semantic frame from the user voice, and generating a second operation command based on the recognized second semantic frame; a sequence determination unit generating an execution sequence of the first operation command and the second operation command; and a controller controlling an execution of the first operation command and the second operation command based on the generated execution sequence and a relation between the first operation command and the second operation command.

Abstract: Provided are a speech recognition learning method using 3D geometric information and a speech recognition method by using 3D geometric information. The method performs learning by using 3D geometric information for learning or information derived from the 3D geometric information to generate a recognizer, and the speech recognition method performs speech recognition by applying 3D geometric information on a physical object correlated to or dependent on voice or information derived from the 3D geometric information to the recognizer.