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Part-of-speech tagging
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#	Item
51	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
52	Collaborative development of annotation guidelines with application to Universal Dependencies Sampo Pyysalo, Filip Ginter Department of Information Technology University of Turku, Finland , filip.ginter@ Add to Reading List Source URL: www2.lingfil.uu.se Language: English - Date: 2014-10-16 02:36:09 Corpus linguistics Reference Natural language processing Computational linguistics Semantics Treebank Annotation International Conference on Language Resources and Evaluation Text annotation Markdown Part-of-speech tagging GitHub
53	Part-of-Speech Tagging Guidelines for the Penn Treebank Project Beatrice Santorini March 15, 1991 Add to Reading List Source URL: www.cis.uni-muenchen.de Language: English - Date: 2013-04-10 11:16:47 Parts of speech Grammar Brown Corpus Brown University Adverb Adjective Possessive Preposition and postposition English language
54	Aranea: Yet Another Family of (Comparable) Web Corpora Vladimír Benko1,2 1 Slovak Academy of Sciences, Ľ. Štúr Institute of Linguistics Panská 26, SKBratislava, Slovakia Add to Reading List Source URL: www.tsdconference.org Language: English - Date: 2014-09-02 15:15:07 Corpus linguistics Applied linguistics Discourse analysis Computational linguistics Lexicography Text corpus Sketch Engine Part-of-speech tagging Corpus manager Natural language processing
55	FUSION OF ACOUSTIC, LINGUISTIC AND PSYCHOLINGUISTIC FEATURES FOR SPEAKER PERSONALITY TRAITS RECOGNITION Firoj Alam, Giuseppe Riccardi Department of Information Engineering and Computer Science, University of Trento, Ital Add to Reading List Source URL: www.sensei-conversation.eu Language: English - Date: 2014-08-04 05:20:11 Language Corpus linguistics Cognitive science Computer science Linguistics Big Five personality traits Part-of-speech tagging Affective computing
56	A corpus based morphological analyzer for unvocalized Modern Hebrew Add to Reading List Source URL: mt-archive.info Language: English - Date: 2008-07-01 04:10:01 Computational linguistics Corpus linguistics Grammar Natural language processing Semantics Part-of-speech tagging Parsing Dependency grammar Morphology Syntax Morpheme Machine translation
57	Creating a dual-purpose treebank Eiríkur Rögnvaldsson, Anton Karl Ingason Einar Freyr Sigurðsson & Joel Wallenberg www.linguist.is/icelandic_treebank University of Iceland, University of Pennsylvania, Newcastle Univer Add to Reading List Source URL: linguist.is Language: English - Date: 2012-01-04 07:35:06 Corpus linguistics Applied linguistics Computational linguistics Semantics Syntax Treebank Eirkur Rgnvaldsson International Corpus of English Icelandic language Part-of-speech tagging Iceland Historical linguistics
58	Pattern Dictionary of English Prepositions Ken Litkowski CL Research 9208 Gue Road Damascus, MarylandUSA Add to Reading List Source URL: www.clres.com Language: English - Date: 2016-06-06 12:56:43 Natural language processing Computational linguistics Semantics Corpus linguistics Knowledge representation SemEval Word-sense disambiguation Part-of-speech tagging Preposition and postposition Support vector machine FrameNet Manually Annotated Sub-Corpus
59	AMRITA@FIRE-2014: Morpheme Extraction for Tamil using Machine Learning Anand Kumar M, S Rajendran and K.P Soman Centre for Excellence in Computational Engineering and Networking Amrita School of Engineering Amrita Vishwa Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2014-12-05 23:51:05 Linguistic morphology Morpheme Morphology Morphological derivation Inflection Affix Word stem Agglutination Part-of-speech tagging Agglutinative language Word Compound
60	Assignment 4 L445 / L545 / B659 Due Tuesday, March 1 1. Using your knowledge of n-grams, explain to a layperson what n-grams models are, what they do, what they don’t do well, and why smoothing is necessary. You should Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2016-02-18 19:43:03 Corpus linguistics Part-of-speech tagging Word-sense disambiguation Computational linguistics Brill tagger Treebank Tagger Constraint Grammar Visitor Based Network Tag

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