Semantic Role Labeling is a shallow semantic parsing method.
语义角色标注是一种浅层语义分析的方法。
Semantic role labeling is a feasible proposal to shallow semantic parsing.
语义角色标注是浅层语义分析的一种可行方案。
Recent years have seen an increasingly interest in shallow semantic parsing, namely the semantic role labeling task (SRL).
近年来，大量的研究开始关注浅层语义分析，也就是语义角色标注(SRL)。
Our research significantly improves the performance of SRL and thus exhibits an important reference value to the future work in semantic parsing.
这些方法的研究及取得的成果对今后的研究具有重要的参考价值。
Because the technology of natural language processing and statistical learning is becoming more and more solid, it is possible to realize shallow semantic parsing.
由于现有自然语言处理技术以及统计学习技术的成熟，使浅层语义分析得以实现。
The proposed Word-Class Stochastic Model (WCSM) is the basis for syntax rule based semantic parsing and spoken language understanding which has better performance.
一是提出并实现了词类概率模型，它具有较高的性能和较低的时间复杂度，是基于句法规则的语义分析和语言理解的基础。
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。
By semantic parsing, the natural language sentence can be understood and knowledge acquirement and inference become possible. Consequently computer and human being can communicate freely.
通过语义分析可以理解自然语言语句，并进行深入的知识获取和推理，使计算机能够与人类无障碍的沟通。
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。
Editor features include syntax highlighting, SQL formatting, content assist, statement parsing and validation, and semantic validation.
编辑器具有语法高亮显示、sql格式化、内容补全、语句解析与验证和语法验证等特性。
In July, Flipboard acquired semantic technology startup Ellerdale, whose intelligent data-parsing algorithms had previously been used to create a real-time search engine and trends tracker.
今年七月，Flipboard收购了语义技术新创公司Ellerdale，其智能数据分析算法已被用来建立实时搜索引擎和趋势跟踪。
The main purpose of semantic tags is to re-use the normal content of an HTML document, and to annotate it with meta-information that is evaluated during Document Object Model (DOM) parsing.
语义标签的主要目的是再使用HTML文件的正常内容，并使用在DocumentObjectModel（DOM）分析期间评价的源信息对其进行注解。
Source language analysis is core of MT, and includes morphology analysis, parsing and semantic analysis.
源语分析是机器翻译的核心，包括词法分析、句法分析和语义分析。
Adding semantic information during syntax parsing is an effective method to implement entity inference.
增加语义信息是实现句法分析实体推理的有效手段。
Then according to the idea of chunk parsing, the Chinese parsing system based on semantic analysis is designed and is implemented.
接着本文运用组块分析的思想，提出并实现了一个基于语义的汉语句法分析系统。
The experiment results show that the maximum entropy model has a very good effect on semantic chunk parsing to Chinese question sentence.
实验结果说明最大熵模型应用于汉语问句语义组块分析具有较好的效果。
The subject combines theory research and practical application to propose the method of integrated keyword matching, semantic analysis, parsing.
系统开发过程结合理论的研究和实际的应用，采用了关键词匹配、语义分析、句法分析相结合的方法。
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。
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。
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。
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