本文提出一种新的非迭代的中文新词提取方法和一种新的开放式词典的中文语言模型。
This paper proposed a new non-iterative new words extraction approach for Chinese and a novel open-vocabulary Chinese LM.
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.
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.
该文针对中文科技论文文本特殊的文体格式和语言风格进行了系统地研究，并提出了基于层次分类模型的文本分类算法。
In this paper, we construct firstly the interval estimates of variance components in the two-way model, depending on corresponding sums of squares from the analysis of variance.
使用新式注音键盘及复合马可夫语言模型之中文。
Chinese -character Inputting System Usinga New Type of Phonetic Keyboard anda Compound Markov...
使用新式注音键盘及复合马可夫语言模型之中文。
Chinese -character Inputting System Usinga New Type of Phonetic Keyboard anda Compound Markov...
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