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。
Word alignment is a basic problem of Cross-lingual Natural Language Processing. Many NLP tasks based on bilingual corpus such as SBMT, EBMT, WSD, Automated Dictionary Extraction need to align words.
词语对齐是跨语言自然语言处理领域的一个基本问题，许多基于双语语料库的应用(如sbmt、EBMT、WSD、词典编纂)都需要词汇级别的对齐。
The Chinese FrameNet project is producing a lexicon of Chinese for both human use and NLP applications, based on the principles of Fillmore s Frame Semantics.
汉语框架网络工程是以框架语义学为理论基础的基于语料库的计算词典编纂工程，用于语言学、计算语言学研究及自然语言处理研究。
Basically there are two NLP methods - Rule Based method and Statistic Based method.
自然语言处理有基于规则和基于语料库统计两种方法。
Based on this, using the NLP comprehensive evaluation model, this paper finds out the influence comprehensive coefficient of World Expo on the Shanghai regional economy is 0.29.
在此基础上，利用NLP综合评价模型，可得出世博会对上海区域经济的影响力综合系数为0.29。
Based on this, using the NLP comprehensive evaluation model, this paper finds out the influence comprehensive coefficient of World Expo on the Shanghai regional economy is 0.29.
在此基础上，利用NLP综合评价模型，可得出世博会对上海区域经济的影响力综合系数为0.29。
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