Abstract:
PROBLEM TO BE SOLVED: To provide a system and a method for speech recognition which includes a semantic language model and a phraseological language model and also includes a unification language model as well. SOLUTION: The system and method include: generating a set of powerful hypotheses for speech recognition; re-scoring the powerful hypotheses by using semantic contents by using a semantic structured language model; and making the recognized speech articulate by using the semantic structured language model and scoring a syntax analysis tree for identifying the best sentence according to the syntax analysis tree of sentences. COPYRIGHT: (C)2005,JPO&NCIPI
Abstract:
A multimodal speech-to-speech language translation system and method for translating a natural language sentence of a source language into a symbolic representation and/or target language is provided. The system includes an input device for inputting a natural language sentence of a source language into the system; a translator for receiving the natural language sentence in machine-readable form and translating the natural language sentence into a symbolic representation and/or a target language; and an image display for displaying the symbolic representation of the natural language sentence. Additionally, the image display indicates a correlation between text of the target language, the symbolic representation and the text of the source language.