An implementation of a partial parser in the spoken language translator

We describe characteristics of the partial parser and evaluations of the output of the spoken language translator with concept-based grammars. This translator translates the Korean utterance generated by a speech recognizer which recognizes spontaneous speech into an English/Japanese utterances through a concept analysis approach. The parsing fails to parse input utterance when the parser finished to medium level tokens because the successful parsing results come from only when all concepts except for the highest top level tokens are reduced into the ones of the highest top level tokens. At this time, the partial parser is ran to analyze those medium level tokens without parsing fail. We obtained 55.2% for the recognized data as the translation rate of meaning based on intention before applying partial parser to the spoken translator, and now obtained 79.1% after applying partial parser.