Abstract: A method for translating a current electronic document is disclosed that includes storing previous translations of prior electronic documents for profiles of translation professionals, extracting terms from prior electronic documents, and generating glossaries that are each associated with one of the profiles and include a respective subset of terms. The method also includes receiving a request to translate the current electronic document, selecting one or more of the profiles based on proximity of the respective subset of terms to extracted terms of the current electronic document, evaluating qualities of the previous translations for each of the selected profiles, planning a workflow for translation of the current electronic document based on the selected profiles, and causing the current electronic document to be translated according to the planned workflow.

Abstract: Computer-implemented systems and methods are provided for suggesting emoticons for insertion into text based on an analysis of sentiment in the text. An example method includes: determining a first sentiment of text in a text field; selecting first text from the text field in proximity to a current position of an input cursor in the text field; identifying one or more candidate emoticons wherein each candidate emoticon is associated with a respective score indicating relevance to the first text and the first sentiment based on, at least, historical user selections of emoticons for insertion in proximity to respective second text having a respective second sentiment; providing one or more candidate emoticons having respective highest scores for user selection; and receiving user selection of one or more of the provided emoticons and inserting the selected emoticons into the text field at the current position of the input cursor.

Abstract: A system for substantially automating transcription services for multiple users (10, 11, 12) including a manual transcription station (50), speech recognition program (40) and a routing program (200). A uniquely identified voice dictation file is generated from a user and—based on the training status—routes the voice dictation file to a manual transcription station and speech recognition program. A human transcriptionist creates transcribed files for each voice dictation file. The speech recognition program creates written text for each dictation file if the training status is training or automated. If the training status of the current user is enrollment or training, a verbatim file is manually established and the speech recognition program is trained with an acoustic model using the verbatim and voice dictation files. The transcribed file is returned to the user if the training status is enrollment or training or written text is returned if the status is automated.

Abstract: A computer system having a PSG, a volume control circuit, a sound data output unit containing two channels of an ADPCM decoder each using a 32 kHz sampling frequency, a 32 bits CPU, an output control unit, and memories connected to the sound data output unit, the CPU, and the output control unit, respectively. So that the computer system has a high quality sound output function and can reproduce a sound data at high quality.

Abstract: Voice processing for recognizing a predetermined voice such as a place name is performed by a voice processing section 14 from an audio signal inputted from a microphone 11 on the basis of an operation of a talk switch 18. When a map display is based on the recognized place name is performed, an incorrect reading and a place name commonly mistaken can be also recognized. Accordingly, a high grade operation of a navigation apparatus can be simply performed without obstructing an operator driving while a car.

Abstract: A visual feedback aid, for a computer system performing speech recognition functions, provides indications on a display monitor of the system representing the current state of operation of a system microphone, the current mode of operation of the system in respect to speech, and a string of text representing the system's recognition (correct or incorrect) of commands instantly spoken into the microphone. The indications preferably are located in a reserved area of a display window associated with a currently active application involving speech recognition. The reserved area preferably would be a prominent one, such as the application title bar.