Abstract: An action position is manipulated in computer-implemented speech recognition by receiving data representing a spoken command. The command includes a command identifier (e.g., insert before, insert after, resume with) and a designation of at least one previously-spoken word. Speech recognition is performed on the data to identify the command identifier and the designation. Finally, an action position is established relative to the previously-spoken word based on the command identifier. Text may be selected using a spoken selection command that includes a command identifier and a text block identifier identifying a block of previously-recognized text. At least one word included in the block of text is not included in the text block identifier.

Abstract: Recognition of speech by a speech recognizer is improved by receiving deliberately contiguously repeated spoken utterances corresponding to a speech element and recognizing fewer instances of the speech element than the number of repeated spoken utterances. If a spoken utterance corresponding to the speech element is received and misrecognized prior to receiving the deliberately contiguously repeated spoken utterances, the spoken utterance and the repeated spoken utterances may be used to recognize the speech element.

Abstract: Traditional information extraction processes are usually implemented on a programmed general purpose computer. The process looks for certain information, and organizes the information into a database record. The database created is usually stored in a searchable format such as a structured relational database or an object-orientated structured database, which can be accessed, research, and analyzed by computer-implemented database research systems. However, generic information extraction processes only input the extracted information into the database, in the last step of the process and do not address the problem of compiling large and comprehensive database from a plurality of source documents. Furthermore, information extraction processes are not focused on how the information extracted will be used in the construction of a large database.

Abstract: Method and apparatus for automated natural language translation. Source language textual statements are stored in computer memory, and interpretations of source language textual statements are stored in a graph. An editing interface allows for the display of altered translations based on user input, and translation operations include semantic propagation based on stored grammar rules.