Automatically recognizing predicate is one of the important research topics in shallow parsing.
谓词的自动识别是浅层句法分析的重要内容。
In this paper, a shallow parsing information based approach is proposed to extract translation examples.
本文采用基于浅层句法分析的方法进行翻译实例的获取。
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。
To improve the computer's processing capacity on Chinese information, and do better shallow parsing, this paper presents a recognition method of Chinese phrase structure based on Maximum Entropy(ME).
为提高计算机对汉语信息的处理能力，更好地进行浅层句法分析，提出一种基于最大熵的汉语短语结构识别方法。
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。
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。
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。
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)。
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。
Shallow English language parsing customized for novelty detection includes sentence boundary detection, tokenization, part-of-speech tagging, and morphological analysis.
针对新信息检测的英文浅层语言分析主要包括断句、词汇切分、词性标注以及词形还原等自然语言处理过程。
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。
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。
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