目录 Preface Chapter 1:Introduction Understanding natural language processing Understanding basic applications Understanding advanced applications Advantages of togetherness-N LP and Python Environment setup for NLTK Tips for readers Summary Chapter 2:Practical Understanding of a Corpus and Datase What is a corpus? Why do we need a corpus? UnderStanding corpus analysis Exercise Understanding types of data attributes Categorical or qualitative data attributes Numeric or quantitative data attributes Exploring different file formats for corpora Resources for accessing free corpora Preparing a dataset for NLP applications Selecting data Preprocessing the dataset Formatting Cleaning Sampling Transforming data Web scraping Summary Chapter 3:Understanding the Structure of a Sentences Understanding components of NLP Natural language understanding Natural language generation Differences between NLU and NLG Branches nf NLP Defining context-free grammar Exercise Morphological analysis What is morphology? What are morphemes? What is a stem? What is morphological analysis? What iS a word? Classification of morphemes Free morphemes Bound morphemes Derivational morphemes Inflectional morphemes What is the difference between a stem and a root? Exercise Lexical analysis ……
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