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N-gram
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51	When Less is Less and When Less is More: Starting Small with Staged Input Christopher M. Conway () Department of Psychology; Cornell University; Ithaca, NY 14853, USA Michelle R. Ellefson (M.Ellefson@wa Add to Reading List Source URL: cnl.psych.cornell.edu Language: English - Date: 2005-04-13 13:16:16 Computational linguistics Educational psychology Language acquisition Dyslexia Special education Memory Artificial grammar learning Encoding Subroutine N-gram Learning disability Working memory
52	DOC Document Add to Reading List Source URL: crr.ugent.be Language: English - Date: 2011-04-06 10:55:55 Computational linguistics Psycholinguistics Corpus linguistics Quantitative linguistics Natural language processing Word lists by frequency Lexical decision task Google Ngram Viewer Word recognition N-gram Word frequency effect Most common words in English
53	Laughter detection using ALISP-based N-Gram models Sathish Pammi, Houssemeddine Khemiri and Gérard Chollet Telecom ParisTech, Rue Dareau, 37-39, 75014 Paris, France {firstname.lastname}@telecom-paristech.fr Laughter is Add to Reading List Source URL: www.ilhaire.eu Language: English - Date: 2012-10-31 09:06:14 Computational linguistics Speech recognition Markov models Laughter N-gram Acoustic model Language model Hidden Markov model Image segmentation
54	Colorless Green Ideas Sleep Furiously Revisited: A Statistical Perspective Florencia Reali () Rick Dale () Morten H. Christiansen () Department of Psychology; Cornell Uni Add to Reading List Source URL: cnl.psych.cornell.edu Language: English - Date: 2005-05-19 17:45:53 Language acquisition Natural language processing Generative linguistics Syntax Linguistics Colorless green ideas sleep furiously Poverty of the stimulus Universal grammar N-gram Grammaticality Bootstrapping Bigram
55	Identification and growth rate quantitation of individual bacterial clones using a novel microfluidic concentration device C. Greef, G. Bergmann, K. Emoto, D. Goldberg, D. Howson, N. Kulprathipanja, M. Lindsey, M. Lochhe Add to Reading List Source URL: acceleratediagnostics.com Language: English - Date: 2013-03-07 16:35:34 Gram-negative bacteria Pathogenic bacteria Moraxellaceae Polysaccharide encapsulated bacteria Bacterial diseases Bacteria Acinetobacter baumannii Haemophilus influenzae Klebsiella pneumoniae Antibiotics Acinetobacter Antimicrobial resistance
56	NCSU-SAS-Ning: Candidate Generation and Feature Engineering for Supervised Lexical Normalization Ning Jin Text Analytics R&D SAS Institute, Inc. Add to Reading List Source URL: noisy-text.github.io Language: English - Date: 2016-08-14 21:11:08 Computational linguistics Natural language processing Corpus linguistics Dynamic programming Quantitative linguistics Statistical classification String metric N-gram Bigram Named-entity recognition Canonical form Lexical analysis
57	Within-Document Term-Based Index Pruning with Statistical Hypothesis Testing Sree Lekha Thota and Ben Carterette Department of Computer and Information Sciences University of Delaware, Newark, DE, USA , c Add to Reading List Source URL: ir.cis.udel.edu Language: English - Date: 2011-08-13 09:15:29 Hypothesis testing Design of experiments Natural language processing Statistical inference Statistical natural language processing Statistical hypothesis testing Language model Tfidf Statistics N-gram Statistical power Pruning
58	Developing A Real-Word Spelling Corrector Based on Dickinson, Brew, & MeurersSpring 2015 Warning: this activity may cause you to think numerically. 1. We’ve talked about n-grams for language processing techniqu Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2016-02-09 14:35:47 Computational linguistics Natural language processing Speech recognition Language modeling Corpus linguistics N-gram Trigram Yin and yang Probability
59	On Statistical Metrics for Selection and Phrasality∗ ´ Damir Cavar 1. Introduction Add to Reading List Source URL: cavar.me Language: English Natural language processing Statistical natural language processing Natural language parsing Syntax Computational linguistics Parsing N-gram Bigram Statistical parsing Syntactic category Noun phrase Dependency grammar
60	Making the Web More Useful as a Source for Linguistic Corpora William H. Fletcher United States Naval Academy _____________________________________________________ To appear in (expected 2004): Connor, U. and T. Upton (e Add to Reading List Source URL: kwicfinder.com Language: English - Date: 2003-09-11 13:59:35 Applied linguistics Corpus linguistics Computational linguistics Discourse analysis Natural language processing Text corpus British National Corpus N-gram Search engine indexing International Corpus of English American National Corpus Full text search