The speed of Chinese word segmentation is very important for many Chinese NLP systems, such as web search engines based on words.
对于基于词的搜索引擎等中文处理系统，分词速度要求较高。
Chinese word segmentation is a basic research issue on Chinese NLP areas such as information retrieval, machine translation, text correction, and so on.
汉语分词是信息检索、机器翻译、文本校对等中文信息处理重要领域的基础。
The results of this study indicate that the SKCC is effective for word sense disambiguation in MT system and are likely to be important for general Chinese NLP.
初步的实验结果表明，该方法可以有效地进行汉语名词、动词、形容词的词义消歧。
应用推荐