tranditionized

词是最小的能够独立活动的有意义的语言成分。 但汉语是以字为基本的书写单位，词语之间没有明显的区分标记，因此，中文词语分析是中文信息处理的基础与关键。(The word is the smallest independent activities meaningful language component. But Chinese is the word as the basic unit of writing, there is no obvious mark of distinction between the words, so Chinese word analysis is the foundation of Chinese information processing and critical.)

说明：  将高维数据组转换为二维数据组，方便数据处理工作人员的数据分析，并包含自然语言处理(The multi-dimensional co-occurrence matrix is transformed into two-dimensional array form, and the high-dimensional data group is transformed into two-dimensional data group, which is convenient for data processing staff to analyze data, and includes natural language processing)

中文信息逆向分词程序 是用api实现的(Chinese Information reverse segmentation process is achieved by api)

说明：  针对样本决策库数据量大的问题选用基于粗糙集对提取的样本数据进行离散化(Sample library data for decision-making problem of large sample selection based on rough sets were discrete data extraction)

GBK 转 unicode 提供二分法查询(translate the gbk to the unicode,with the bianary search way)

此函数用来生成最大长度线性移位寄存器序列(m序列)(This function used to generate the maximum length linear shift register sequence (m sequence))

中科院的分词系统ictclas源码，自由开放的源码，很好(ictclas code)

根据输入的中文词来进行检索~检索出用户想要的内容(ChineseSegment)

说明：  ICTCLAS的JNI调用接口文件: Title:ICTCLAS Caller * <p>Description:do chinese word segmentation.don t change the pakage and CLASS name, orelse you can t use it. * 请不要改变包名、类名以及native的方法名，否则调用将失效。 * 由于ICTCLAS本身存在很多鲁棒性问题，调用segSentence时，string参数请保证不要过长或带有乱码。调用次数过多（如处理几十G的数据）会有可能造成内存溢出。 * 故基本只能用于较小规模数据（相对几十G来说）。 * 请运行时设置jvm足够的堆栈空间。(ICTCLAS calling the JNI interface documentation : Title : Caller* ICTCLAS)

一个中文分词开发包，可以用到搜索引擎的开发当中，比较好用。(A Chinese word segmentation development kit, you can use search engine in development and are relatively easy to use.)