Abstract: A system and a method to correct semantic interpretation recognition errors presented in this invention applies to Automatic Speech Recognition systems returning recognition results with semantic interpretations. The method finds the most likely intended semantic interpretation given the recognized sequence of words and the recognized semantic interpretation. The key point is the computation of the conditional probability of the recognized sequence of words given the recognized semantic interpretation and a particular intended semantic interpretation. It is done with the use of Conditional Language Models which are Statistical Language Models trained on a corpus of utterances collected under the condition of a particular recognized semantic interpretation and a particular intended semantic interpretation. Based on these conditional probabilities and the joint probabilities of the recognized and intended semantic interpretations, new semantic interpretation confidences are computed.

Abstract: A method and system are presented that simplify acquisition of cases for an incremental Case-Based Reasoning system. Case acquisition closely follows the normal problem-solving process and cases are automatically created in a form suitable for the CBR runtime. The method and system rely on the fact that the CBR runtime is already capable of taking the input data and constructing a case in a form that corresponds to the library cases. The problem-solving mode is transformed into the case-acquisition mode by replacing the ‘choose next action’ step in the incremental CBR algorithm by a step that generates a set of all applicable actions given the current content of the session case and the model. From these the user can choose an action that corresponds to an action from the real-world case description. This is repeated as part of the incremental CBR loop until a full case has been acquired.

Abstract: A method and system are presented that simplify acquisition of cases for an incremental Case-Based Reasoning system. Case acquisition closely follows the normal problem-solving process and cases are automatically created in a form suitable for the CBR runtime. The method and system rely on the fact that the CBR runtime is already capable of taking the input data and constructing a case in a form that corresponds to the library cases. The problem-solving mode is transformed into the case-acquisition mode by replacing the ‘choose next action’ step in the incremental CBR algorithm by a step that generates a set of all applicable actions given the current content of the session case and the model. From these the user can choose an action that corresponds to an action from the real-world case description. This is repeated as part of the incremental CBR loop until a full case has been acquired.

Abstract: The method and system for modifications of grammars presented in this invention applies to automatic speech recognition systems which take a spoken utterance as input and use a grammar to assign word sequence(s) and, possibly, one or more semantic interpretations to that utterance. One type of modification may take a form of reducing the importance of select grammar components based on the analysis of the occurrence of these components in the original grammar. Another type of modification may take form of adding new grammar components to the grammar of some semantic interpretations based on the analysis of the occurrence of these components in the select set of other semantic interpretations. Both modifications can be carried out either automatically or offered for validation. Some benefits of the presented method and system are: reduced effort for building grammars, improvement of recognition accuracy, automatic adaptation of dynamic grammars to the context.

Abstract: The method and system for modifications of grammars presented in this invention applies to automatic speech recognition systems which take a spoken utterance as input and use a grammar to assign word sequence(s) and, possibly, one or more semantic interpretations to that utterance. One type of modification may take a form of reducing the importance of select grammar components based on the analysis of the occurrence of these components in the original grammar. Another type of modification may take form of adding new grammar components to the grammar of some semantic interpretations based on the analysis of the occurrence of these components in the select set of other semantic interpretations. Both modifications can be carried out either automatically or offered for validation. Some benefits of the presented method and system are: reduced effort for building grammars, improvement of recognition accuracy, automatic adaptation of dynamic grammars to the context.