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.
發表於2025-01-31
Foundations of Statistical Natural Language Processing 2025 pdf epub mobi 電子書 下載
這本書不是很厚,也沒有自然語言處理綜論介紹的全麵。但就想要學習SNLP的人來說相當不錯。 同時書中除瞭自然語言處理中傳統的如分詞、標注等領域之外,在最後也涉及到瞭一些較為新型和更為交叉的領域。從SNLP這一領域做齣瞭很好的詮釋!
評分P17(中文版) English:The significance of power laws 中文:強法則的重要性 power law:指數法則,冪律
評分P17(中文版) English:The significance of power laws 中文:強法則的重要性 power law:指數法則,冪律
評分圖書標籤: NLP 自然語言處理 機器學習 統計學習 Statistics 計算機 經典 AI
entropy
評分: H08/M283
評分入門書 涉獵麵比SMT廣 NLP都有涉及
評分算讀過吧-__-
評分看完瞭(心虛
Foundations of Statistical Natural Language Processing 2025 pdf epub mobi 電子書 下載