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Foundations of Statistical Natural Language Processing Christopher D. Manning, Hinrich Schuetze
Publisher: MIT

Manning C, Schütze H: Foundations of Statistical Natural Language Processing. Foundations of Statistical Natural Language Processing 4399819.2514142186. Lafferty J, McCallum A, Pereira F: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. Foundations of Statistical Natural Language Processing, by Chris Manning and Hinrich Schütze, published by the MIT Press. This book offers a highly accessible introduction to Natural Language Processing, the field that underpins a variety of language technologies ranging from predictive text and email filtering to automatic summarization and translation. Foundations of Statistical Natural Language Processing. Every once and a while, I come across a book so good that I feel foolish for not reading it sooner. As this trend has continued, data-driven NLP techniques have become more and more sophisticated by borrowing heavily from the fields of Statistics and Machine Learning. The Elements of Statistical Learning Data Mining,Inference,and Prediction4391385.3068872220. Manning, Hinrich Schuetze, Foundations of Statistical Natural Language Processing (1999). Foundation (DFG), university funds and industry grants. 16th International Conference on Applications of Natural Language to Information Systems, NLDB. As the great American anthropologist-linguist Edward Sapir put it, all grammars leak. Collective Intelligence in Action. Jurafsky, Dan and Martin, James, Speech and Language Processing, Second Edition, Prentice Hall, 2008.