信息 利用上，我们提出了基于基本名词短语的分析方法。
We also propose a BaseNP-based analyzing technique to extract syntactic information from a parse tree.
使学生准确理解和掌握生理心理学中的一些基本名词和术语。
Makes the students to understand accurately some of the basic terms and terminology of physiological psychology.
基本名词短语识别是自然语言处理领域的非常重要的子任务。
The identification of English basic noun phrase is an important sub-task in natural language processing.
提出了一种基于规则和统计相结合的汉语基本名词短语识别算法。
We propose a kind of combination of statistical and rule-based algorithm for Chinese BaseNP recognition.
提出了一种基于规则的汉语基本名词短语识别算法——基于扩展词性模板算法。
We propose a kind of rule-based Chinese BaseNP recognition algorithm, an extension of part of speech (pos) template algorithm.
确定基本名词短语内部结构的因素有多种，但基本名词短语成分的词类信息是最基本的因素。
The inner structure of BaseNP can be analyzed based on different features, among them, POS tagging information is the most important feature.
确定基本名词短语内部结构的因素有多种，但基本名词短语成分的词类信息是最基本的因素。
The inner structure of BaseNP can be analyzed based on different features, among them, POS tagging information is the most important feature.
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