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Natural Language Processing Overview by h.dubey1116 is a document available to read on EtoBox.

What is Natural Language Processing Overview about?

The document provides an overview of Natural Language Processing (NLP), covering its challenges, language modeling, regular expressions, and finite-state automata. It discusses word-level analysis techniques such as N-grams, smoothing methods, part-of-speech tagging, and the Hidden Markov Model. Key concepts include ambiguity in language, evaluation metrics like perplexity, and algorithms for tagging and probability estimation.

Author

h.dubey1116

Language

EN