Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. 第二部分讲述语音识别系统中的有关算法,包括模式分类,查找算法,随机模型,语言模型等技术。
Clark, Alexander. "Unsupervised induction of stochastic context-free grammars using distributional clustering." Conference on Natural Language Learning, 2001. ( PDF) 采用分布聚类的随机上下文无关文法的无监督归纳学习〉。《自然语言学习会议,2001年》。(PDF)
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。