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Graph-Based N-gram Language Identification on Short Texts Erik Tromp Mykola Pechenizkiy Department of Computer Science, Eindhoven University of Technology P.O. Box 513, 5600 MB, Eindhoven, The Netherlands
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Document Date: 2011-05-13 09:24:15

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File Size: 701,44 KB

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City

Ngram / LIGA / /

Company

International Language Resources / BBC News / Twitter / /

Country

Belgium / Netherlands / /

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Facility

Eindhoven University of Technology P.O. Box / Eindhoven University of Technology / /

IndustryTerm

opinion mining / pre-processing step / social media / social media data analysis / zipfs law / natural language processing / social networks / natural language processing routine / law stating / /

Organization

Short Texts Erik Tromp Mykola Pechenizkiy Department of Computer Science / Eindhoven University of Technology / New Mexico State Univ. / /

Person

Let Lang / /

Position

author / Prime Minister / model / scoring function PM / Σe PM / function PM / Harper / /

ProvinceOrState

New Mexico / Manitoba / /

PublishedMedium

Computational Linguistics / Machine Learning / /

Technology

natural language processing / machine translation / API / machine learning / /

URL

http /

SocialTag