This paper presents an approach of Syntactic and Semantic of CFN automatic tagging based on cascaded conditional random fields model.
本文提出了一种基于层叠条件随机场的CFN句法语义自动标注方法。
This paper briefly introduces the classification of words and part-of-speech tagging, then introduces a computer model of syntactic processing: context-free grammar.
本文将简要介绍单词的分类与词类标注的相关内容，在此基础上介绍句法处理的一个计算机模型：上下文无关语法。
The former includes Chinese word segmentation, part - of - speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc.
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
前者涉及到词法、句法、语义分析，包括汉语分词、词性标注、注音、命名实体识别、新词发现、句法分析、词义消歧等。
This paper introduces the idea of a corpus of Chinese NP syntactic positions, as well as the tag set used and the principles for tagging. The potential value of this corpus is also pointed out.
本文以非统计的信息处理方法为出发点，介绍一个汉语名物性短语句法位置语料库的设计思想、所使用的句法位置标记集以及标记加工规范，并指出了这样一个语料库的潜在价值。
This paper introduces the idea of a corpus of Chinese NP syntactic positions, as well as the tag set used and the principles for tagging. The potential value of this corpus is also pointed out.
本文以非统计的信息处理方法为出发点，介绍一个汉语名物性短语句法位置语料库的设计思想、所使用的句法位置标记集以及标记加工规范，并指出了这样一个语料库的潜在价值。
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