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

This is the claim that we think in a specific mode: visual, .. Broadly speaking, NLP is computer manipulation of natural language: from word counts to AutoCorrect, machine translation to sentiment analysis, part-of-speech tagging to speech recognition. Empirical psychology has a methodology which takes representative samples, control groups and a statistical methodology to produce results USING REAL PEOPLE. In technical datasets, given the distinct lack of proper syntax or grammar, statistical techniques work better (e.g., see book – Christopher D. James Allen, Natural Language Processing, Pearson Education, 2003. Ɩ�利（Addison-Wesley）, 1984. Foundations of Statistical Natural Language Processing (Ch. Findings Both approaches are utilized in Statistical NLP and provide a means for determining how language is used. The Principal Clinical Psychologist for Sheffield Health Authority, Dr Heap, looked at 70 papers on NLP, to examine its theoretical underpinning - Primary Representational System (PRS). Manning, Hinrich Schütze: 统计自然语言处理基础（Foundations of Statistical Natural Language Processing）, MIT（麻省理工学院） 出版社(1999), ISBN 978-0262133609, p. NLP is a statistical process, and errors happen! Christopher D.Manning & Henrich Schutze, Foundations Of Statistical Natural Language Processing, The MIT Press, 2001. So, building upon a strong foundation in math, science, and some programming, I've expanded my toolset to new techniques and languages: machine learning and data mining, R and MapReduce, and on and on.