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Language and Information
Results: 6976

#	Item
881	Machine translation for language preservation Steven BIRD1,2 David CHIANG3 (1) Department of Computing and Information Systems, University of Melbourne (2) Linguistic Data Consortium, University of Pennsylvania (3) Infor Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2013-02-21 11:41:26 Knowledge Applied linguistics Language documentation Tok Pisin Endangered language Language Interlinear gloss Machine translation Natural language processing Linguistics Science Computational linguistics
882	D2.6 Information Extraction — Concept and Model Project title: Project acronym: Project number: Project instrument: Add to Reading List Source URL: www.kiwi-project.eu Language: English - Date: 2010-02-25 08:55:11 World Wide Web Information Knowledge representation Artificial intelligence Information extraction Semantic wiki Wiki software Kiwi Wiki Science Semantic Web Natural language processing
883	The answers for the interview 1. Why do you use ICT-based collaborative projects in your foreign language lessons? I have been using ICT-based collaborative projects when teaching my students English for years. Long ago Add to Reading List Source URL: espnet.eu Language: English - Date: 2011-08-29 17:33:48 Communication Information technology ETwinning Education in the European Union Information and communication technologies in education Cantell Secondary School Educational technology Technology Education
884	An Ontology Design Pattern for Cartographic Map Scaling ? David Carral1 , Simon Scheider2 , Krzysztof Janowicz3 , Charles Vardeman4 , Adila Krisnadhi1 , and Pascal Hitzler1 1 Add to Reading List Source URL: geog.ucsb.edu Language: English - Date: 2013-03-15 12:50:00 Semantic Web Geodesy Knowledge Market research Psychometrics Web Ontology Language Scaling Geographic information system Scale Science Cartography Measurement
885	European Alps Old Delhi The conclusions drawn from Copenhagen: The need for sound climate information and solution options Add to Reading List Source URL: www.baltcica.org Language: English - Date: 2010-02-11 08:13:27 Latin alphabets German alphabet German language
886	Estimating Document Focus Time Adam Jatowt1,2, Ching-Man Au Yeung3 and Katsumi Tanaka1 1 Kyoto University Add to Reading List Source URL: www.dl.kuis.kyoto-u.ac.jp Language: English - Date: 2013-09-05 07:13:52 Information retrieval Natural language processing Computer file formats Computational linguistics TimeML Subject Document classification Tf*idf Information extraction Information science Science Information
887	Adding Semantics to Web Services Standards Kaarthik Sivashanmugam, Kunal Verma, Amit Sheth, John Miller Large Scale Distributed Information Systems (LSDIS) Lab Department of Computer Science, University of Georgia Athens Add to Reading List Source URL: lsdis.cs.uga.edu Language: English - Date: 2003-04-27 18:32:16 Semantic Web Information Ontology Information science Technical communication Web Services Description Language Semantic Web Services Universal Description Discovery and Integration DAML-S Web services World Wide Web Computing
888	Earth Observation and Signal Territories: Studying U.S. Broadca Add to Reading List Source URL: www.filmandmedia.ucsb.edu Language: English - Date: 2014-10-31 13:32:44 Science Keyhole Markup Language Telecommunication Google Earth Infrastructure Map Geographic information system Internet Telegraphy Software Technology Media technology
889	2014 IEEE 27th International Symposium on Computer-Based Medical Systems Automated Classification of Computer-based Medical Device Recalls: An Application of Natural Language Processing and Statistical Learning Homa Ale Add to Reading List Source URL: users.crhc.illinois.edu Language: English - Date: 2015-05-01 15:47:10 Memory Mental processes Information retrieval Natural language processing Recall Food and Drug Administration Medical device Precision and recall Medsafe Medicine Science Health
890	Step 1: Create and Edit Text Adding text to your site is as easy as dragging any of our text elements to a page. The primary text elements are Title, Paragraph, Paragraph w/ Title (a paragraph element with a Title area a Add to Reading List Source URL: lawlinks.com Language: English - Date: 2011-04-18 09:50:07 Web 2.0 Computing Flickr Keyhole Markup Language Social information processing Column Internet World Wide Web Image hosting Photo sharing

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