Fuzzy Matching of Semantic Class in Chinese Spoken Language Understanding

Spoken language understanding in a Chinese spoken dialogue system engine

In this paper, we introduce the method of spoken language understanding in the Linguistic Processor of a Chinese Spoken Dialogue System Engine. The Linguistic Processor is conceived for the development of simple, robust nature language interfaces to different applications. It is designed for extracting meaning representation from Chinese spoken utterances. Its strategy is to apply grammatical c...

the role of thematic structure in comprehending spoken language

in fact this study is concerned with the relationship between the variation in thematice structure and the comprehension of spoken language. so the study focused on the following questions: 1. is there any relationship between thematic structure and the comprehension of spoken language? 2. which of the themes would have greated thematic force and be easier for the subjects to comprehend? accord...

Semantic Frame Based Spoken Language Understanding

Chinese spoken language understanding across domain

A robust parsing model for spontaneous Chinese based on semantic constituent spotting and concept assembling model (SCAM) had been successfully developed in our “LOADSTAR”dialog system[1]. It is a travel information accessing system and the SCAM is rule based. Considering the domain portability, a statistical model for spoken language understanding is adopted. The statistical spoken language un...

Shallow Semantic Parsing for Spoken Language Understanding

Most Spoken Dialog Systems are based on speech grammars and frame/slot semantics. The semantic descriptions of input utterances are usually defined ad-hoc with no ability to generalize beyond the target application domain or to learn from annotated corpora. The approach we propose in this paper exploits machine learning of frame semantics, borrowing its theoretical model from computational ling...