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Introduction to Natural Language Processing Steven Bird Ewan Klein - PowerPoint PPT Presentation

Introduction to Natural Language Processing Steven Bird Ewan Klein Edward Loper University of Melbourne, AUSTRALIA University of Edinburgh, UK University of Pennsylvania, USA August 27, 2008 Knowledge and Communication in Language human


  1. Introduction to Natural Language Processing Steven Bird Ewan Klein Edward Loper University of Melbourne, AUSTRALIA University of Edinburgh, UK University of Pennsylvania, USA August 27, 2008

  2. Knowledge and Communication in Language • human knowledge, human communication, expressed in language • language technologies: process human language automatically • handheld devices: predictive text, handwriting recognition • web search engines: access to information locked up in text • two facets of the multilingual information society: • natural human-machine interfaces • access to stored information

  3. Knowledge and Communication in Language • human knowledge, human communication, expressed in language • language technologies: process human language automatically • handheld devices: predictive text, handwriting recognition • web search engines: access to information locked up in text • two facets of the multilingual information society: • natural human-machine interfaces • access to stored information

  4. Knowledge and Communication in Language • human knowledge, human communication, expressed in language • language technologies: process human language automatically • handheld devices: predictive text, handwriting recognition • web search engines: access to information locked up in text • two facets of the multilingual information society: • natural human-machine interfaces • access to stored information

  5. Knowledge and Communication in Language • human knowledge, human communication, expressed in language • language technologies: process human language automatically • handheld devices: predictive text, handwriting recognition • web search engines: access to information locked up in text • two facets of the multilingual information society: • natural human-machine interfaces • access to stored information

  6. Knowledge and Communication in Language • human knowledge, human communication, expressed in language • language technologies: process human language automatically • handheld devices: predictive text, handwriting recognition • web search engines: access to information locked up in text • two facets of the multilingual information society: • natural human-machine interfaces • access to stored information

  7. Knowledge and Communication in Language • human knowledge, human communication, expressed in language • language technologies: process human language automatically • handheld devices: predictive text, handwriting recognition • web search engines: access to information locked up in text • two facets of the multilingual information society: • natural human-machine interfaces • access to stored information

  8. Knowledge and Communication in Language • human knowledge, human communication, expressed in language • language technologies: process human language automatically • handheld devices: predictive text, handwriting recognition • web search engines: access to information locked up in text • two facets of the multilingual information society: • natural human-machine interfaces • access to stored information

  9. Problem • awash with language data • inadequate tools (will this ever change?) • overheads: Perl, Prolog, Java • Natural Language Toolkit (NLTK) as a solution

  10. Problem • awash with language data • inadequate tools (will this ever change?) • overheads: Perl, Prolog, Java • Natural Language Toolkit (NLTK) as a solution

  11. Problem • awash with language data • inadequate tools (will this ever change?) • overheads: Perl, Prolog, Java • Natural Language Toolkit (NLTK) as a solution

  12. Problem • awash with language data • inadequate tools (will this ever change?) • overheads: Perl, Prolog, Java • Natural Language Toolkit (NLTK) as a solution

  13. NLTK: What you get... • Book • Documentation • FAQ • Installation instructions for Python, NLTK, data • Distributions: Windows, Mac OSX, Unix, data, documentation • CD-ROM: Python, NLTK, documentation, third-party libraries for numerical processing and visualization, instructions • Mailing lists: nltk-announce , nltk-devel , nltk-users , nltk-portuguese

  14. NLTK: What you get... • Book • Documentation • FAQ • Installation instructions for Python, NLTK, data • Distributions: Windows, Mac OSX, Unix, data, documentation • CD-ROM: Python, NLTK, documentation, third-party libraries for numerical processing and visualization, instructions • Mailing lists: nltk-announce , nltk-devel , nltk-users , nltk-portuguese

  15. NLTK: What you get... • Book • Documentation • FAQ • Installation instructions for Python, NLTK, data • Distributions: Windows, Mac OSX, Unix, data, documentation • CD-ROM: Python, NLTK, documentation, third-party libraries for numerical processing and visualization, instructions • Mailing lists: nltk-announce , nltk-devel , nltk-users , nltk-portuguese

  16. NLTK: What you get... • Book • Documentation • FAQ • Installation instructions for Python, NLTK, data • Distributions: Windows, Mac OSX, Unix, data, documentation • CD-ROM: Python, NLTK, documentation, third-party libraries for numerical processing and visualization, instructions • Mailing lists: nltk-announce , nltk-devel , nltk-users , nltk-portuguese

  17. NLTK: What you get... • Book • Documentation • FAQ • Installation instructions for Python, NLTK, data • Distributions: Windows, Mac OSX, Unix, data, documentation • CD-ROM: Python, NLTK, documentation, third-party libraries for numerical processing and visualization, instructions • Mailing lists: nltk-announce , nltk-devel , nltk-users , nltk-portuguese

  18. NLTK: What you get... • Book • Documentation • FAQ • Installation instructions for Python, NLTK, data • Distributions: Windows, Mac OSX, Unix, data, documentation • CD-ROM: Python, NLTK, documentation, third-party libraries for numerical processing and visualization, instructions • Mailing lists: nltk-announce , nltk-devel , nltk-users , nltk-portuguese

  19. NLTK: What you get... • Book • Documentation • FAQ • Installation instructions for Python, NLTK, data • Distributions: Windows, Mac OSX, Unix, data, documentation • CD-ROM: Python, NLTK, documentation, third-party libraries for numerical processing and visualization, instructions • Mailing lists: nltk-announce , nltk-devel , nltk-users , nltk-portuguese

  20. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  21. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  22. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  23. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  24. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  25. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  26. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  27. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

  28. NLTK: Who it is for... • people who want to learn how to: • write programs • to analyze written language • does not presume programming abilities: • working examples • graded exercises • experienced programmers: • quickly learn Python (if necessary) • Python features for NLP • NLP algorithms and data structures

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