该小组建立了一个识别谎言的模型，利用心理学和语言学方法，研究那些后来不得不修改收益的烂公司的电话会议记录，试图揭发总裁的谎言。
The team built a model that tries to flush out executive lies, using psychological and linguistic studies and transcripts of conference calls from companies that later restated earnings.
最后，在中文语音识别任务上测试两类语言模型的性能。
Finally, these two language models are evaluated on the task of Chinese speech recognition.
采用了扩展的巴科斯范式(EBNF)定义NC程序语法规则，提出了一种基于语言识别工具(ANTLR)的NC代码编译器的设计模型。
A design model of NC code complier based on ANother Tool for Language Recognition (ANTLR) was presented, which adopted the Extended Backus Naur Form (EBNF) to define the NC program syntax rule.
仅仅依靠语音信号的声学模型来进行语音识别，存在着不能利用语言的非声学知识的固有缺陷。
Traditional speech recognition system has an intrinsic defect that, commonly only use the acoustic model of speech and unable to use non-acoustic knowledge of language to recognize speech.
完整的连续语音识别系统主要包括四个部分：特征提取，声学模型，语言模型和搜索算法，本文就是根据这四个部分展开的。
A whole continuous speech recognition system includes four parts: feature extraction, acoustic model, language models and search algorithms, and the thesis is carried out according to them.
该算法结合统计语言模型和中文构词规则等信息，能有效识别中文姓名。
The algorithm integrated statistic model and semantic rules is able to recognize Chinese person names effectively.
这种类型的问题出现在需要使用大量马尔科夫模型的语言识别中，每一个模型对特定的一个词建模。
This type of problem occurs in speech recognition where a large number of Markov models will be used, each one modelling a particular word.
论文的主要贡献如下：1、提出了一种基于自然语言识别的智能查询模型。
The paper brings forward a new intelligent retrieval model basing on Recognition of Natural Language.
而语言模型、语法及词法模型在中、大词汇量连续语音识别中是非常重要的。
Furthermore it is very important that we use language model, syntax and accidence model in middle or big glossary continuous speech recognition.
在本文中，我们提出了一种统一的统计语言模型方法用来汉语自动分词和中文命名实体识别，这种方法对基于词的三元语言模型进行了很好的扩展。
In this paper, we extend a word-based trigram modeling to Chinese word segmentation and Chinese named entity recognition, by proposing a unified approach to SLM.
第二部分讲述语音识别系统中的有关演算法，包括模式分类，查找演算法，随机模型，语言模型等技术。
Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques.
模糊人脸识别模拟实验证明，在语言特征环境下，该分类模型有效地实现了语言模糊对象的近似辨识。
The simulated experiment on fuzzy face recognition show that it efficiently implements approximate identification of objects whose feature values are linguistic values.
由于目前常用的声学模型和语言模型的局限性，计算机只能识别一些词汇或一些句子。
But the limitation of acoustic and language model is that the computer can only recognize some words or sentences.
根据建模思路的不同，主流的语种识别方法可以分为两大类：基于声学模型的方法和基于语言模型的方法。
According to the ideas of modeling on the speech, there are two mainstream categories of language identification: based on acoustic model and based on language model.
根据建模思路的不同，主流的语种识别方法可以分为两大类：基于声学模型的方法和基于语言模型的方法。
According to the ideas of modeling on the speech, there are two mainstream categories of language identification: based on acoustic model and based on language model.
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