Word classification is a major and pivotal problem in the areas of linguistic and nature language processing.
词的分类问题在语言学和自然语言处理研究中占有相当关键的位置。
In the contemporary Chinese teaching the teachers are often in a real quandary a bout grammatical classification of adverb and the grammatical features of concerned word group.
现代汉语教学中经常遭遇尴尬，比较典型的是副词的语法分类以及同有关词语组合而显现的语法特征。
It is urgent to examine and study them, proposing a reasonable conception of grammatical classification for word.
考察并研究这些错乱，为词的语法分类提出合理的构想，是汉语语法研究和教学的当务之急。
Then, this paper eliminates ambiguity of word meanings in text by WordNet. A representation of text based on concept is proposed later, and has been also applied to classification in SVM and KNN.
然后，介绍了传统的基于关键字的向量空间模型的文本分类的几个重要阶段，并着重介绍了其中的文本表示的相关技术和两种经典分类算法。
Thus we solve the problems of the synonym and the multivocal word, and reduce the dimension of the characteristic space to a great extent, get the correct rate of more excellent classification.
从而解决了文本处理中的同义词和一词多义问题，在很大程度上降低了特征空间的维数，并且得到了较优的性能。
Therefore word segmentation is a key sub-problem of Chinese information processing, such as machine translation, information retrieval and text classification.
因此，分词在机器翻译、信息检索、文本分类等中文信息处理的各项任务中都发挥着基础性的重要作用。
This paper concentrates on the word formation features of the latest neologisms. A comprehensive study based on classification is carried out to reveal the rules governing the creation of new words.
本文主要从构词法的角度分析了英语新词的特点，通过分类研究来阐述其构词规律。
But Subject Classification And Code has laconic system, clear plot, and simplicity of operation. In a word, it is good for the paper classification.
《学科分类与代码》体系简洁，划分明晰，无技术性要求、操作简单，具有简明性、易用性和实用性，适用于期刊论文的分类。
But Subject Classification And Code has laconic system, clear plot, and simplicity of operation. In a word, it is good for the paper classification.
《学科分类与代码》体系简洁，划分明晰，无技术性要求、操作简单，具有简明性、易用性和实用性，适用于期刊论文的分类。
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