Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
P17(中文版) English:The significance of power laws 中文:强法则的重要性 power law:指数法則,幂律
评分P17(中文版) English:The significance of power laws 中文:强法则的重要性 power law:指数法則,幂律
评分这本书不是很厚,也没有自然语言处理综论介绍的全面。但就想要学习SNLP的人来说相当不错。 同时书中除了自然语言处理中传统的如分词、标注等领域之外,在最后也涉及到了一些较为新型和更为交叉的领域。从SNLP这一领域做出了很好的诠释!
评分power law译成强法则,perplexity译成混乱度,碰到稍难一点的句子居然直接跳过不译,狂汗。 现在还没看多少,感觉原书内容还是不错的,叙述比较完备,就是英文写得稍微难了点,不是特别简单易懂的写法。
评分一些基本理论写得很清楚,对所需的数学基础也解释得很易理解。只看了部分章节
评分入门书 涉猎面比SMT广 NLP都有涉及
评分有点旧了。
评分课本飘过……
评分入门书 涉猎面比SMT广 NLP都有涉及
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