Shallow syntactic parsing refers to phrase-level syntactic parsing of natural languages.
浅层句法分析是指短语级的自然语言句法分析。
The context free grammar (CFG) was applied broadly in the automatic syntactic parsing of natural language processing.
上下文无关语法(简称CFG)在自然语言的句法自动分析中已经得到广泛的应用。
At first, we point out the difficulties of syntactic parsing and think that chunk parsing is one way to solve this problem.
本文首先指出当前语法分析的困难，而组块分析是一条解决问题的途径。
In order to reduce the difficulty of complete syntactic parsing, "divided-and-conquer" is proposed and shallow parsing is processed.
为了降低完全句法分析的难度，研究人员提出了“分而治之”的策略，进行浅层分析也就是组块分析。
There is much more and comprehensive work in the realization of the models, such as syntactic parsing, lexicography and standardization.
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。
It also covers applications of these methods and models in syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization.
同时也包含了语法剖析、资讯萃取、统计式机器翻译、对话系统以及自动摘要等方法和模型的应用。
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。
We will discuss the use of these methods and models in a variety of applications including syntactic parsing, information extraction, statistical machine translation, and summarization.
我们将在多种应用中讨论这些方法和模型的使用，包括句法分析，资讯抽取，统计机器翻译和自动摘要等。
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。
Analysis of predicate verb in a simple sentence is carried out based on the EICG constraints and shallow syntactic parsing results to get the syntactic and semantic structure of the whole sentence.
简单句结构分析以谓语动词为中心，依据其EICG格约束和句子浅层分析结果填充格框架，从而得到整个句子的语法语义结构。句子结构转换依照句子分析结果和转换规则产生等价的目标语言的线性语法语义结构。
Semantic relevancy computation is used to solve structural disambiguity in parsing syntactic.
引入了语义相关度计算是为了解决句法分析中的结构性歧义。
Syntactic interoperability is all about parsing data correctly.
语义互操作性就是正确地解析数据。
XML can have lots of constructs and syntactic quirks and parsing is hard.
XML有很多结构和奇怪的语法习惯，很难进行解析。
Sentence comprehension is a process in which reader has syntactic and semantic parsing while retrieving meaning of word based on words recognition, and forms whole meaning of sentence.
句子理解是以字词识别加工为基础，在提取字义的同时进行句法分析和语义分析，最终形成句子的完整意义。
Finally, with the technique of parsing and the automaton pattern recognition in the syntactic pattern recognition, the classification of braided drainage is carried out.
最后，本文结合句法模式识别中句法分析的方法与自动机识别技术对辫状水系进行了识别。
Semantic relevancy computation is used to solve structural disambiguity in parsing syntactic .
为解决句法分析中的结构性歧义，引入了语义相关度计算。
As ambiguity is so common, probabilistic parsing is very significant to syntactic processing and natural language processing.
由于歧义非常普遍，因此概率剖析器在大多数剖析或自然语言处理工作中起着重要的作用。
As ambiguity is so common, probabilistic parsing is very significant to syntactic processing and natural language processing.
由于歧义非常普遍，因此概率剖析器在大多数剖析或自然语言处理工作中起着重要的作用。
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