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.
识别句子中的最长名词短语是一个对机器翻译等任务具有重要实际价值的难题。
The recognition of Chinese maximal-length noun phrase is a difficult task, which is valuable for many applications such as machine translation.
作为研究工作的开篇，王治敏于2006年6月完成了博士学位论文《汉语名词短语隐喻识别研究》。
As a precedent of this study, in June 2006 Wang Zhimin have completed her doctoral dissertation entitled "The Chinese Noun Phrase Metaphor Recognition".
作为研究工作的开篇，王治敏于2006年6月完成了博士学位论文《汉语名词短语隐喻识别研究》。
As a precedent of this study, in June 2006 Wang Zhimin have completed her doctoral dissertation entitled "The Chinese Noun Phrase Metaphor Recognition".
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