Ajit Singh

Natural Language Processing With Python Ajit Singh

Natural Language Processing is a large and multidisciplinary field, so this book provides a very specific details about the NLP, including it's application. By "natural language" we mean a language that is used for everyday communication by humans; languages like English, Hindi or Portuguese. I will take Natural Language Processing - or NLP for short - in a wide sense to cover any kind of computer manipulation of natural language.

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.

This book aims to bring newcomers to natural language processing (NLP). For a beginner reader, I hope the book will provide a strong foundation in the NLP. It can be used for individual study or as the textbook for a course on natural language processing or computational linguistics, or as a supplement to courses in artificial intelligence, text mining, or corpus linguistics.

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

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