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Natural Language Processing With Python
NLP is a large and multidisciplinary field, so this book can only provide a very general introduction. The organisation is based on increased `depth' of processing, starting with relatively surface-oriented techniques and progressing to considering meaning of sentences and meaning of utterances in context.
Key Features:
1. Discussion of the main problems involved in language processing by means of examples taken from NLP applications with methodological distinctions and puts the applications and methodology into some historical context.
2. Discussion of morphology, concentrating mainly on English morphology. The concept of a lexicon in an NLP system is discussed with respect to morphological processing. Spelling rules are introduced and the use of finite state transducers to implement spelling rules is explained.
3. Introduces some simple statistical techniques and illustrates their use in NLP for prediction of words and part-of-speech categories. It starts with a discussion of corpora, then introduces word prediction. Word prediction can be seen as a way of (crudely) modelling some syntactic information (i.e., word order).
4. NLP With Python
5. DIY Corpus
Key Features:
1. Discussion of the main problems involved in language processing by means of examples taken from NLP applications with methodological distinctions and puts the applications and methodology into some historical context.
2. Discussion of morphology, concentrating mainly on English morphology. The concept of a lexicon in an NLP system is discussed with respect to morphological processing. Spelling rules are introduced and the use of finite state transducers to implement spelling rules is explained.
3. Introduces some simple statistical techniques and illustrates their use in NLP for prediction of words and part-of-speech categories. It starts with a discussion of corpora, then introduces word prediction. Word prediction can be seen as a way of (crudely) modelling some syntactic information (i.e., word order).
4. NLP With Python
5. DIY Corpus
109 pages, Kindle Edition
Published May 30, 2019
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