谓词的自动识别是浅层句法分析的重要内容。
Automatically recognizing predicate is one of the important research topics in shallow parsing.
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.
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 this paper, a shallow parsing information based approach is proposed to extract translation examples.
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。
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).
句法分析一直是自然语言处理的一个基础性的研究课题，近年来部分分析，也叫浅层分析、组块分析，成为自然语言处理的热点。
Syntax analysis is always a basic task in the natural language processing, part analysis, also called shallow parse or chunk identification, becomes a hotspot in the natural language processing.
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。
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。
In order to reduce the difficulty of complete syntactic parsing, "divided-and-conquer" is proposed and shallow parsing is processed.
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