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Special Issue: Computational Linguistics and its Applications
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In: http://www.informatica.si/PDF/Informatica_2010_1.pdf (2010)
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Recent Advances in Computational Linguistics
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In: http://www.informatica.si/PDF/34-1/01_Lendeva%20-%20Recent%20Advances%20in%20Computational%20Linguistics.pdf (2009)
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A Bilingual Corpus of Novels Aligned at Paragraph Level
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In: http://www.cic.ipn.mx/~sidorov/FinTAL2006.pdf (2006)
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A Bilingual Corpus of Novels Aligned at Paragraph Level
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In: http://www.gelbukh.com/CV/Publications/2006/A Bilingual Corpus of Novels Aligned at Paragraph Level.pdf (2006)
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Alignment of Paragraphs in Bilingual Texts using Bilingual Dictionaries and Dynamic Programming
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In: http://www.gelbukh.com/cv/Publications/2006/CIARP-2006-Alignment.pdf (2006)
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Morphological Analysis of Inflective Languages Through Generation
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In: http://www.gelbukh.com/CV/Publications/2002/SEPLN-2002-Morph.pdf (2002)
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Morphological Analysis of Inflective Languages Through Generation
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In: http://www.sepln.org/revistaSEPLN/revista/29/29-Pag105.pdf (2002)
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Problemas actuales de lingüística computacional
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In: Revista Digital Universitaria (1607 - 6079). Vol. 2, No.1 (2001) (2001)
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On Coherence Maintenance in Human-Machine Dialogue with Contextual Ellipses
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In: http://www.gelbukh.com/CV/Publications/2002/CYS_new1.pdf (1999)
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PDF PS www.gelbukh.com
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In: http://www.gelbukh.com/CV/Publications/1999/ENC-99-Objects.ps (1999)
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2Facultad de Ciencias de la Computación
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In: http://ceur-ws.org/Vol-1180/CLEF2014wn-QA-GomezAdornoEt2014.pdf
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Syntactic dependency based n-grams in rule based automatic English as second language grammar correction
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In: http://www.cic.ipn.mx/~sidorov/IJCLA_SN_GRAMS_2013.pdf
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Abstract:
In this paper, we present a system for automatic English (L2) grammatical error correction. It participated in ConLL 2013 shared tasks. The system applies a set of simple rules for correction of grammatical errors. In some cases, it uses syntactic n-grams, i.e., n-grams that are constructed in a syntactic metric: namely, by following paths in dependency trees, i.e., there is special procedure that allows obtaining syntactic n-grams. Note that in general case syntactic n-grams permit introducing syntactic information into machine learning methods, because syntactic n-grams have all properties of traditional n-grams. The system is simple, practically does not use additional linguistic resources and was constructed in two months. Due to its simplicity it does not obtain better scores as compared to more sophisticated systems that use many resources, the Internet and machine learning methods, but it can be positioned as a baseline system for the task. 1
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.644.907 http://www.cic.ipn.mx/~sidorov/IJCLA_SN_GRAMS_2013.pdf
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Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets
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In: http://www.gelbukh.com/CV/Publications/2013/Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets.pdf
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Lexical-Based Alignment for Reconstruction of Structure in Parallel Texts*
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In: http://www.gelbukh.com/CV/Publications/2007/Lexical-Based Alignment for Reconstruction of Structure in.pdf
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On Similarity of Word Senses in Explanatory Dictionaries
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In: http://www.gelbukh.com/cv/Publications/2003/IJT-2003-senses.pdf
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Adapting Cross-Genre Author Profiling to Language and Corpus Notebook for PAN at CLEF 2016
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In: http://ceur-ws.org/Vol-1609/16090947.pdf
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Division of Spanish Words into Morphemes with a Genetic Algorithm∗
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In: http://www.gelbukh.com/CV/Publications/2008/Division of Spanish Words into Morphemes with a Genetic.pdf
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Rule-based System for Automatic Grammar Correction Using Syntactic N-grams for English Language Learning (L2)
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In: http://aclweb.org/anthology/W/W13/W13-3613.pdf
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Some Linguistic Methods of Improving of the Quality of Document Retrieval on the Internet
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In: http://www.gelbukh.com/CV/Publications/2005/Some Linguistic Methods of Improving the Quality.pdf
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Incorporating Linguistic Information to Statistical Word-Level Alignment ⋆
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In: http://www.gelbukh.com/CV/Publications/2009/Incorporating Linguistic Information to Statistical.pdf
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