1 / 14

CSA3180 Natural Language Processing

This course provides an overview of Natural Language Processing (NLP) and its applications in engineering and science. It covers interdisciplinary aspects, basic problems, levels of linguistic knowledge, ambiguity, and algorithms used in NLP. The course also explores various approaches, topics, and tools in NLP, such as semantics, statistics, information extraction, machine translation, and information retrieval.

laddison
Download Presentation

CSA3180 Natural Language Processing

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. CSA3180Natural Language Processing Introduction and Course Overview CSA3180 NLP

  2. Acknowledgement • Material for some of these slides taken from J Nivre, University of Gotheborg, Sweden CSA3180 NLP

  3. Why Language and Computers • Engineering • NLP is concerned with the design and implementation of effective NL input and output components for computational systems (Robert Dale 2000) • Scientific • The use of computers for linguistic research and applications CSA3180 NLP

  4. NLP is Interdisciplinary • Linguistics • Theoretical • Applied • Computer Science • Algorithms • Compiling Techniques • Artificial Intelligence • Understanding, reasoning • Intelligent Action CSA3180 NLP

  5. Uszkoreit’s (2000) Five Points • Solving the human language puzzle • by implementing complex theories directly • Teaching computers to communicate with people • by exploiting natural modes of communication • Friendly software should listen and speak • through development of multimodal communication • Machines can help people communicate with each other. • by developing multilingual applications • Language is the fabric of the web • through language technology for knowledge management CSA3180 NLP

  6. Application Areas • Document Processing • Classification • Summarisation • Information Extraction • Question Answering • Information Retrieval • Dialogue • Multilinguality • Machine Translation • Translation tools • Multimodality • speech • intonation • image CSA3180 NLP

  7. Basic Problems • Analysis • Conversion of NL input to internal representations • Generation • Conversion of internal representations to NL output • Issues • What kind of input/output/representations • Evaluation • Learning CSA3180 NLP

  8. Levels of Linguistic Knowledge • Phonetics/Phonology: sound structure • Morphology: word structure • Syntax: sentence structure • Semantics: meanings • Pragmatics: use of language in context • Discourse: paragraphs, texts, dialogues CSA3180 NLP

  9. Ambiguity • Morpho-SyntacticWe saw her duck • Lexical SemanticThey went to the bank • Structural semanticYoung men and women • ReferentialShe did it • PragmaticCan you pass the salt CSA3180 NLP

  10. Ways of Studying NLP • By ApplicationMT, IE, IR etc. • By Approachrational vs. empirical • By Linguistic Levelmorphology, syntax etc. • By Algorithm CSA3180 NLP

  11. Algorithms • State Machines • automata and transducers • Rule Systems • regular and context free grammars • Search • top-down/bottom-up parsing • Probabilistic algorithms CSA3180 NLP

  12. Approach in this CoursePart I - Algorithms • Words [3] • Finite State Algorithms • Morphological Processing • Sentences [3] • Parsing • (Generation) • Texts [3] • Tagging • Chunking CSA3180 NLP

  13. Approach in this CoursePart II – Topics and Tools • Semantics [6] • Statistics [6] • Information Extraction [6] • Machine Translation [4] • Information Retrieval [3] CSA3180 NLP

  14. Course Information • Course Websitewww.cs.um.edu.mt/~mros/csa3180 • Reference TextJurafsky and Martin • Tools • Prolog: SWI Prolog • NLTK: nltk.sourceforge.net CSA3180 NLP

More Related