Foundations of Statistical Natural Language Processing pdf epub mobi txt 电子书下载 2025

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出版者:The MIT Press

作者:Christopher D. Manning

出品人:

页数:620

译者:

出版时间:1999-6-18

价格:USD 110.00

装帧:Hardcover

isbn号码:9780262133609

丛书系列:

图书标签:

NLP
自然语言处理
机器学习
统计学习
Statistics
计算机
经典
AI
统计自然语言处理
机器学习
自然语言处理
概率模型
语言模型
文本分析
计算语言学
贝叶斯方法
隐马尔可夫模型
语义分析

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具体描述

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.

作者简介

目录信息

Introduction
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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