Spoken Language Understanding

The spoken language understanding is a crucial part in spoken language translation systems and human-machine dialog systems.

口语理解在口语自动翻译和人机对话系统中具有非常重要的作用。

This paper gives a model of situation semantic frame - key technology in our system, which can deal with the difficulty of spoken language understanding system.

基于词汇语义框架及其和小句论元结构的关系，从语言系统可操作性的角度出发，提出可实施认知操作的小句概念框架。

The proposed Word-Class Stochastic Model (WCSM) is the basis for syntax rule based semantic parsing and spoken language understanding which has better performance.

一是提出并实现了词类概率模型，它具有较高的性能和较低的时间复杂度，是基于句法规则的语义分析和语言理解的基础。