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Word processing
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#	Item
161	Microsoft Word - NewsLetter#3_v1.2.doc Add to Reading List Source URL: emanics.org Language: English - Date: 2007-01-03 09:07:27 Computing Network management International Federation for Information Processing Lower Austria UNESCO Simple Network Management Protocol Institute of Electrical and Electronics Engineers IEEE Communications Society Carlos Becker Westphall
162	Behavior Research Methods 2005, 37 (1), 65-70 N-Watch: A program for deriving neighborhood size and other psycholinguistic statistics COLIN J. DAVIS Add to Reading List Source URL: www.pc.rhul.ac.uk Language: English - Date: 2005-06-20 09:27:43 Linguistics Cognitive science Language Computational linguistics Natural language processing Language acquisition Reading Word lists by frequency Bigram Word recognition Psycholinguistics Pseudoword
163	Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis Evgeniy Gabrilovich and Shaul Markovitch Department of Computer Science Technion—Israel Institute of Technology, 32000 Haifa, Israel {gabr Add to Reading List Source URL: jsomers.net Language: English - Date: 2010-01-03 00:51:56 Computational linguistics Natural language processing Information science Linguistics Information retrieval Semantics Vector space model Lexical semantics Explicit semantic analysis Semantic similarity Evgeniy Gabrilovich Word-sense disambiguation
164	Document Analysis Jaehyun Park Ahmed Bou-Rabee EE103 Stanford University Add to Reading List Source URL: stanford.edu Language: English - Date: 2015-03-10 15:25:45 Natural language processing Statistical distance Multivariate statistics Linear algebra Document-term matrix Similarity measure Microsoft Word Word count HP2 Euclidean vector
165	Microsoft Word - TKDESIR2.doc Add to Reading List Source URL: wwwusers.di.uniroma1.it Language: English - Date: 2006-09-18 05:31:35 Natural language processing Knowledge representation Computational linguistics Knowledge engineering Semantic Web Ontology INTEROP-VLab Terminology extraction Glossary Automatic taxonomy construction Formal ontology WordNet
166	Language and Computers Writers’ Aids Introduction Non-word error detection Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2016-01-25 16:27:37 Natural language processing Speech recognition Computational linguistics Error detection and correction Error Spell checker Proofreading Syntax N-gram
167	The Edinburgh Machine Translation Systems for IWSLT 2015 Matthias Huck, Alexandra Birch School of Informatics University of Edinburgh Scotland, United Kingdom Add to Reading List Source URL: workshop2015.iwslt.org Language: English - Date: 2015-12-19 08:15:46 Machine translation Computational linguistics Natural language processing Evaluation of machine translation Statistical machine translation BLEU Moses N-gram Word-sense disambiguation Bitext word alignment Syntax LEPOR
168	Is Arabic Part of Speech Tagging Feasible Without Word Segmentation? ¨ Emad Mohamed, Sandra Kubler Indiana University Department of Linguistics Memorial Hall 322 Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2010-10-14 19:07:09 Computational linguistics Corpus linguistics Semantics Natural language processing Part-of-speech tagging Image segmentation Tagger Plural Treebank Word-sense disambiguation Brill tagger
169	Microsoft Word - ovadia.doc Add to Reading List Source URL: www.webpages.uidaho.edu Language: English - Date: 2007-06-01 20:42:40 Community websites Social information processing Social bookmarking Blogs Digg Virtual communities Social news Slashdot Website Librarian
170	POS Tagging Problem •  Given a sentence W1…Wn and a tagset of lexical categories, find the most likely tag T1..Tn for each word in the sentence •  Example Secretariat/NNP is/VBZ expected/VBN to/TO race/VB tomor Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2016-02-17 11:43:10 Markov models Computational linguistics Brown Corpus Brown University Natural language processing Part-of-speech tagging N-rule PRNP Word-sense disambiguation

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