基于条件随机场的中文地名识别

近几年来，中文分词技术取得了可喜的进步，各种机器学习方法被应用到这一领域，而采用标注的方法进行分词也是应用得比较多的方法。本文尝试了一种不同以往的方法，不对字本身进行标注，而对字与字之间的切分点进行标注，并结合条件随机场模型，实现了一个分词系统并参加了第三届国际中文处理评测的分词比赛，取得了较好的结果。

Identification of Chinese Place Names Based on Conditional Random Fields

Chinese word segmentation technology has made encouraging progress recently,All kinds of machine learning methods have been applied to this area,and the use of the tagging methods of segmentation is also more than the method.This paper has a different method of the past,it does not mark of the word itself but between words on the check points tagging,and combined with the conditional random fields model,the Chinese word segmentation system is developed to participate the Third International Chinese Language Processing Bakeoff,which has achieved good results.