这个表达式与上一个很像，但出于性能原因以贪婪量词取代了懒惰量词。
This is similar to the last regex, but it replaces the lazy quantifier with a greedy one for performance reasons.
文章通过对汉语量词和英语单位名词的语法化现象的描述，证实了广义隐喻是语法化的驱使力量。
This paper describes the grammaticalization of Chinese classifiers and English unit nouns to prove that metaphors in general sense are the main cause of grammaticalization.
实现了基于名词间联合结构、件类名词、词同位关系等名词短语和数量词结构的自然语言理解。
Accomplished the understanding of noun phrase based on the coordinate relation, event noun, appositive relation and quantifier structure relation.
结果，没有经历丝毫痛苦，就拥有了大量词汇，拥有了对不同的风格领悟力，对语法句法的着迷，和正确拼写的能力。
This resulted, painlessly, in a large vocabulary, an awareness of differences of style, the absorption of grammar and syntax and an ability to spell.
第二章：讨论了由名词、动词、形容词、数量词、代词充任定语和由谓词充任中心语的共六种简单定中结构。
Chapter Two: It discusses six simple attributive structures which use nouns, verbs, adjectives, numerals and pronouns as attributes.
此外，文章还给出了二维和三维形状量词的使用函数公式，并从绝对量、轨迹方面讨论了形状量词的一些特殊用法。
Also, this paper has given the function formulas, absolute value and locus governing the USES of shape based classifiers.
其中名量词是量词的主要组成部分，也是最早被人们发现的一类量词，它集中体现了量词的很多特征。
Among them, Noun Measure Word is the main part of the whole Measure Word's system, and it has most features of that system, that's why it is the first kind of Measure Word that people discovered.
从而从动词的角度，分析了动词对动量词的选择关系。
So from the perspective of verbs, verbs of the momentum of the relationship between the choice of words.
社交媒体Steemit上流传的这些图表是用谷歌ngramViewer制作的，展示了1800年至2000年间大量词语的使用趋势。
The charts revealed on Steemit were generated using Google Ngram Viewer, and show the usage trends of numerous words between 1800 and 2000.
社交媒体Steemit上流传的这些图表是用谷歌ngramViewer制作的，展示了1800年至2000年间大量词语的使用趋势。
The charts revealed on Steemit were generated using Google Ngram Viewer, and show the usage trends of numerous words between 1800 and 2000.
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