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:
● 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.
● 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.
● 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).
● NLP With Python
● DIY Corpus

Other Valuable Titles....
■ Edge Computing
■ Fog Computing
■ Python Simply In Depth
■ Formal Language And Automata Theory
■ Virtual Reality
■ IoT Programming
■ Internet of Things
■ 5G Technologies