About

Text processing framework to analyse Natural Language by performing operations and tasks on corpus data. Hence, this approach focuses on the statistical/quantitative track of Natural Language Processing (NLP).

Related fields

• Computational Linguistics (CL)
• Corpus Linguistics
• Information Retrieval
• Artificial Intelligence (AI), Machine Learning (ML) and Pattern Recognition

The differences among the aforementioned fields related to NLP are a matter of perspective and taste. Nonetheless, NLP is more frequently regarded to be an engineering-oriented approach while CL is rather more associated with theoretical aspects.

Recommended bibliography

NLP specific

• Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, by Daniel Jurafsky and James H. Martin, 2009.
• Introduction to Information Retrieval, by Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, 2008.
• Foundations of Statistical Natural Language Processing, by Christopher D. Manning and Hinrich Schütze, 1999.

AI/ML specific

• Artificial Intelligence: A Modern Approach, by Stuart Russell and Peter Norvig, 2010.
• Pattern recognition and machine learning, by Christopher M. Bishop, 2006.
• Pattern classification, by Richard O. Duda, Peter E. Hart and David G. Stork, 2001.

Contact

For any comment or suggestion of any kind, please contact Alexandre Trilla.