The Online Books Page

Natural language processing (Computer science)

Here are entered works on the computer processing of natural language for the purpose of enabling humans to interact with computers in natural language. Works on the applications of computers in processing and analyzing language are entered under Computational linguistics.

See also what's at Wikipedia, your library, or elsewhere.

• Semantic computing
• Artificial intelligence
• Electronic data processing
• Human-computer interaction

• NLP (Computer science)

• Essential Speech and Language Technology for Dutch: Results by the STEVIN Programme (c2013), ed. by Peter Spyns and Jan Odijk (multiple formats with commentary at SpringerLink)
• The Open Handbook of Linguistic Data Management (Cambridge, MA and London: MIT Press, c2021), ed. by Andrea L. Berez-Kroeker, Bradley James McDonnell, Eve Koller, and Lauren B. Collister (PDF files with commentary at MIT Press)
• Strategic Research Agenda for Multilingual Europe 2020 (presented by META-NET; c2013), ed. by Georg Rehm and Hans Uszkoreit (PDF files with commentary at SpringerLink)
• Computational Linguistics: Models, Resources, Applications (c2004), by Igor A. Bolshakov and Alexander Gelbukh (PDF and illustrated HTML with commentary at gelbukh.com)
• Natural Language Processing With Python (electronic Creative Commons edition, updated for Python 3), by Steven Bird, Ewan Klein, and Edward Loper (illustrated HTML with commentary at nltk.org)
• Speech Understanding Research (final technical report; Menlo Park, CA: Stanford Research Institute, 1976), ed. by Donald E. Walker (PDF at dtic.mil)

Items below (if any) are from related and broader terms.

• Validating RDF Data (c2018), by Jose Emilio Labra Gayo, Eric Prud'hommeaux, Iovka Boneva, and Dimitris Kontokostas (illustrated HTML with commentary at validatingrdf.com)
• Practical Semantic Web and Linked Data Applications: Common Lisp Edition (c2010), by Mark Watson (PDF at Github)
• Practical Semantic Web and Linked Data Applications: Java, Scala, Clojure, and JRuby Edition (c2010), by Mark Watson (PDF at Github)

• Practical Semantic Web and Linked Data Applications: Common Lisp Edition (c2010), by Mark Watson (PDF at Github)
• Practical Semantic Web and Linked Data Applications: Java, Scala, Clojure, and JRuby Edition (c2010), by Mark Watson (PDF at Github)
• An Introduction to Ontology Engineering (c2020), by C. Maria Keet (PDF in South Africa)
• Linked Data Patterns: A Pattern Catalogue for Modelling, Publishing, And consuming Linked Data (2012), by Leigh Dodds and Ian Davis (multiple formats at dataincubator.org)
• Linked Data: Evolving the Web into a Global Data Space (free electronic edition, c2011), by Tom Heath and Christian Bizer (illustrated HTML with commentary at linkeddatabook.com)
• Validating RDF Data (c2018), by Jose Emilio Labra Gayo, Eric Prud'hommeaux, Iovka Boneva, and Dimitris Kontokostas (illustrated HTML with commentary at validatingrdf.com)
• Introduction to Information Retrieval (prepublication version; 2008), by Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze (HTML and PDF with commentary at Stanford)

• Semantic Web: Interoperability, Usability, Applicability (2020-) (full serial archives)

• Linked Data Patterns: A Pattern Catalogue for Modelling, Publishing, And consuming Linked Data (2012), by Leigh Dodds and Ian Davis (multiple formats at dataincubator.org)
• Linked Data: Evolving the Web into a Global Data Space (free electronic edition, c2011), by Tom Heath and Christian Bizer (illustrated HTML with commentary at linkeddatabook.com)
• Validating RDF Data (c2018), by Jose Emilio Labra Gayo, Eric Prud'hommeaux, Iovka Boneva, and Dimitris Kontokostas (illustrated HTML with commentary at validatingrdf.com)
• Practical Semantic Web and Linked Data Applications: Common Lisp Edition (c2010), by Mark Watson (PDF at Github)
• Practical Semantic Web and Linked Data Applications: Java, Scala, Clojure, and JRuby Edition (c2010), by Mark Watson (PDF at Github)
• Development of Linguistic Linked Open Data Resources for Collaborative Data-Intensive Research in the Language Sciences (Cambridge, MA and London: MIT Press, c2019), ed. by Antonio Pareja-Lora, María Blume, Barbara Lust, and Christian Chiarcos (PDF at dropbox.com)

• AI for Everyone? Critical Perspectives (London: University of Westminster Press, c2021), ed. by Pieter Verdegem (multiple formats with commentary at University of Westminster Press)
• Artificial Intelligence and Games (2018), by Georgios N. Yannakakis and Julian Togelius (PDF with commentary at gameaibook.org)
• Artificial Intelligence and Responsive Optimization (second edition, 2003), by Mohammad Khosnevisan, Sukanto Bhattacharya, and Florentin Smarandache (PDF at UNM)
• Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong A.I. (c2002), ed. by Jay W. Richards, contrib. by Ray Kurzweil, John R. Searle, Michael J. Denton, William A. Dembski, Thomas S. Ray, and George F. Gilder (at kurzweilai.net)
• Artificial Intelligence (third edition, reprinted with corrections; Reading, MA et al.: Addison-Wesley Pub. Co., 1993), by Patrick Henry Winston (PDF at MIT)
• The Age of Intelligent Machines (c1992), by Ray Kurzweil (at kurzweilai.net)
• The Boundaries of Humanity: Humans, Animals, Machines (Berkeley: University of California Press, 1991), ed. by James J. Sheehan and Morton Sosna (HTML at UC Press)
• Artificial Intelligence Through Prolog (1988), by Neil C. Rowe (HTML at nps.edu)
• How Mobile Robots can Self-Organise a Vocabulary (Berlin: Language Science Press, c2015), by Paul Vogt
  • PDF with commentary at langsci-press.org
  • PDF at OAPEN
• Applications of Robotics and Artificial Intelligence to Reduce Risk and Improve Effectiveness: A Study for the United States Army (1983), by National Research Council Commission on Engineering and Technical Systems (page images with commentary at NAP)
• When Things Start to Think (c1999), by Neil A. Gershenfeld (HTML with commentary at kurzweilai.net)
• Elements of Robotics (Cham: Springer Open, c2018), by M. Ben-Ari and Francesco Mondada (PDF and EPub with commentary at EPFL and Springer)
• Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp (c1992), by Peter Norvig (multiple formats with commentary at Github)
• From Bricks to Brains: The Embodied Cognitive Science of LEGO Robots (Edmonton: AU Press, c2010), by Michael Robert William Dawson, Brian Dupuis, and Michael Wilson (PDF with commentary at AU Press)
• The Computer Revolution in Philosophy: Philosophy, Science and Models of Mind (1978, with added notes and corrections), by Aaron Sloman (HTML and PDF with commentary in the UK)
• The Origin and Its Meaning, by Roger Ellman (PDF files at the-origin.org)

• The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)

• Accelerando (2005), by Charles Stross (multiple formats with commentary at antipope.org)
• Old Soldiers (included on a Baen CD image; c2005), by David Weber
  • zipped CD ISO at thefifthimperium.com; 183 MB
  • zipped CD files at thefifthimperium.com; 185 MB
• Bolo! (included on a CD image), by David Weber, contrib. by Keith Laumer
  • zipped CD ISO at thefifthimperium.com; 151 MB
  • zipped CD files at thefifthimperium.com; 152 MB
• The Fourth "R", by George O. Smith
  • Gutenberg text
  • page images at durendal.org
• Halo, by Tom Maddox (HTML at dthomasmaddox.com)

• What Was Artificial Intelligence? (with a new introduction; Bethlehem, PA: Mediastudies.press, 2022), by Sue Curry Jansen (multiple formats with commentary at mediastudies.press)
• This Could Be Important: My Life and Times with the Artificial Intelligentsia (Pittsburgh: ETC Press, c2019), by Pamela McCorduck (HTML with commentary at pressbooks.com)

• Ethics of Artificial Intelligence: Case Studies and Options for Addressing Ethical Challenges (Cham: Springer, c2023), by Bernd Carsten Stahl, Doris Schroeder, and Rowena Rodrigues
  • multiple formats with commentary at Springer
  • PDF with commentary at OAPEN
• The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)

• Journal of Artificial Intelligence Research (1993-) (full serial archives)

• Can We Trust AI? (Baltimore: Johns Hopkins University Press, c2022), by Rama Chellappa, contrib. by Eric Niiler (multiple formats with commentary at Project MUSE)
• The Future Computed: Artificial Intelligence and its Role in Society (2018), by Microsoft Corporation (PDF with commentary at microsoft.com)

More items available under broader and related terms at left.