基于条件随机场的汉语自动分词系统。把句子划分成一个一个的词-Based on the conditions of the airport with Chinese automatic segmentation system. The sentence was divided into an a word

CRF1.2，条件随机场软件包，很好用很流行的一个文本分类软件，可以用于自然 语言的处理，标签，分类，词性发现，用户只需要着重构造特征函数既可以，实验结果和应用表明crf要优于隐马尔科夫模型。实现环境为java语言。-CRF1.2, conditions package with the airport, very good very popular with a text classification software, can be used in natural language proc

应用在自然语言识别等领域的机器训练,最新版本的条件随机场工具-Applications in natural language recognition in areas such as machine training, the latest version of the conditions with the Airport tools

说明：基于条件随机场模型的实体关系识别，内含条件随机场的理论介绍以及该理论应用于实体关系识别的实验及实验分析 -Note: Based on Conditional Random Fields model entity-relationship recognition, implied condition of the theoretical descr iption with the airport, as well as the theory is applied to entity-r