Foundations of Statistical Natural Language Processing pdf epub mobi txt 電子書 下載2025
- NLP
- 自然語言處理
- 機器學習
- 統計學習
- Statistics
- 計算機
- 經典
- AI
- 統計自然語言處理
- 機器學習
- 自然語言處理
- 概率模型
- 語言模型
- 文本分析
- 計算語言學
- 貝葉斯方法
- 隱馬爾可夫模型
- 語義分析
具體描述
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.
著者簡介
圖書目錄
Mathematical Foundations
Linguistic Essentials
Corpus-Based Work
Collocations
Statistical Inference: n-gram Models over Sparse Data
Word Sense Disambiguation
Lexical Acquisition
Markov Models
Part-of-Speech Tagging
Probabilistic Context Free Grammars
Probabilistic Parsing
Statistical Alignment and Machine Translation
Clustering
Topics in Information Retrieval
Text Categorization
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讀後感
这本书当中依然有很多错误，译者也助长了错误。在第六章 语言模型部分，作者详细定义了各种概念，但是对于B的翻译不够好：训练实例的类别量，其实就是模型的参数数量或者n-gram的数量。围绕这个概念问题，出了一系列错误。 第一个错误表现在127页的译者注释，译者注意到manni...
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