句法标注是语料标注的重点、难点所在，必须以一定的句法理论为基础。
Syntax tagging is the main and most difficult point of corpus tagging, and should be based on syntax theory.
要使模型达到实用要求，需要在句法标注、词典编纂和规范化方面做大量复杂的工作。
There is much more and comprehensive work in the realization of the models, such as syntactic parsing, lexicography and standardization.
为高效地建立句法标注语料库，设计研发了一个实用的中文句法编辑与分析辅助系统。
In order to set up part of speech tagging corpus efficiently, one practical Chinese syntax compilation and analyse assistant system is designed and implemented.
现有句法标注模型主要包括基于短语结构语法(PSG)和基于依存语法(DG)的句法标注模型，还存在一些局限性。
The current syntax tagging models are customarily based on PSG (Phrase Structure Grammar) or DG (Dependency Grammar), but all have some shortcomings.
将这三个任务用两个模块来实现：分词和词性标注模块、句法分析模块。
We realize the three tasks with two pieces of module: the word segment and part of speech tagging module, the syntax analysis module.
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。
This paper briefly introduces the classification of words and part-of-speech tagging, then introduces a computer model of syntactic processing: context-free grammar.
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。
The former includes Chinese word segmentation, part-of-speech tagging, pinyin tagging, named entity recognition, new word detection, syntactic parsing, word sense disambiguation, etc .
本章最后我们在标注的结果中，抽取出了我们需要的部分语义特征，构造句法-语义映射结构，该结构为以后本体学习中的一个关键要素。
Finally we select the partial semantic characteristics from the labeling sets, and form the syntax-semantics mapping structure which can be an essential factor for the later ontology learning.
对切分标注正确的句子进行句法分析，并采用规则方法与句法语义评分结合进行消歧。
The sentences of correctly segmented and tagged are analyzed, and rule-based method and syntactical and semantic score are adapted to disambiguate.
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 presents an approach of Syntactic and Semantic of CFN automatic tagging based on cascaded conditional random fields model.
在公共的测试集上对句法分析器的性能进行了评价，对于正确分词和词性标注的句子，句法分析的精确率和召回率分别达到85.89%和85.61%。
The parser was evaluated on the standard test set with PARSEVAL metric. It performed with the precision of 85.89% and the recall rate of 85.61% on the sentences with gold segmentation and POS tagging.
作为其具体实现，语义角色标注的任务是识别并标注句中每个目标谓词的所有充当语义角色的句法成分。
In particular, given a sentence and a predicate, semantic role labeling (SRL) identifies its semantic arguments and classifies their semantic roles.
本文讨论了汉语语料库的加工技术，即对语料库进行词法、句法和语义等方面的标注。
This paper discusses the process technology of Chinese corpus. The Chinese corpus must be annotated with part of …
同时，分析了自动依存句法分析和自动谓词标注对语义角色标注性能的影响。
This paper discusses the context and syntax of embedded if-questions appearing as arguments of noninterrogative predicates like "admit", ect.
该模型是一个词汇化的句法分析模型，能结合分词、词性标注进行句法分析；
The model is a parser based on lexicalized model, it is combined with segmentation and POS tagging model and thus a language parser is built.
本文讨论了汉语语料库的加工技术，即对语料库进行词法、句法和语义等方面的标注。
This paper discusses the process technology of Chinese corpus. The Chinese corpus must be annotated with part of speech...
本文讨论了汉语语料库的加工技术，即对语料库进行词法、句法和语义等方面的标注。
This paper discusses the process technology of Chinese corpus. The Chinese corpus must be annotated with part of speech...
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