Home Catalogue search

eng

Refine your search:

Search in the Catalogues and Directories






	Sort by
Simple Search

Page: 1 2

Hits 1 – 20 of 29

1	Special Issue: Computational Linguistics and its Applications
	Yulia Ledeneva; Grigori Sidorov; Anton P. Železnikar
	In: http://www.informatica.si/PDF/Informatica_2010_1.pdf (2010)
	BASE
	Show details

2	Recent Advances in Computational Linguistics
	Yulia Ledeneva; Santiago Tianguistenco; Grigori Sidorov
	In: http://www.informatica.si/PDF/34-1/01_Lendeva%20-%20Recent%20Advances%20in%20Computational%20Linguistics.pdf (2009)
	BASE
	Show details

3	A Bilingual Corpus of Novels Aligned at Paragraph Level
	Er Gelbukh; Grigori Sidorov; José Ángel Vera-félix
	In: http://www.cic.ipn.mx/~sidorov/FinTAL2006.pdf (2006)
	BASE
	Show details

4	A Bilingual Corpus of Novels Aligned at Paragraph Level
	Er Gelbukh; Grigori Sidorov; José Ángel Vera-félix
	In: http://www.gelbukh.com/CV/Publications/2006/A Bilingual Corpus of Novels Aligned at Paragraph Level.pdf (2006)
	BASE
	Show details

5	Alignment of Paragraphs in Bilingual Texts using Bilingual Dictionaries and Dynamic Programming
	Alexander Gelbukh; Grigori Sidorov
	In: http://www.gelbukh.com/cv/Publications/2006/CIARP-2006-Alignment.pdf (2006)
	BASE
	Show details

6	Morphological Analysis of Inflective Languages Through Generation
	Er Gelbukh; Grigori Sidorov
	In: http://www.gelbukh.com/CV/Publications/2002/SEPLN-2002-Morph.pdf (2002)
	BASE
	Show details

7	Morphological Analysis of Inflective Languages Through Generation
	Er Gelbukh; Grigori Sidorov
	In: http://www.sepln.org/revistaSEPLN/revista/29/29-Pag105.pdf (2002)
	BASE
	Show details

8	Problemas actuales de lingüística computacional
	Grigori Sidorov
	In: Revista Digital Universitaria (1607 - 6079). Vol. 2, No.1 (2001) (2001)
	BASE
	Show details

9	On Coherence Maintenance in Human-Machine Dialogue with Contextual Ellipses
	Er Gelbukh; Grigori Sidorov; Igor A. Bolshakov
	In: http://www.gelbukh.com/CV/Publications/2002/CYS_new1.pdf (1999)
	BASE
	Show details

10	PDF PS www.gelbukh.com
	Grigori Sidorov Alexander; Dr. Grigori Sidorov; Dr. Alexander Gelbukh
	In: http://www.gelbukh.com/CV/Publications/1999/ENC-99-Objects.ps (1999)
	BASE
	Show details

11	2Facultad de Ciencias de la Computación
	Grigori Sidorov; David Pinto; Er Gelbukh
	In: http://ceur-ws.org/Vol-1180/CLEF2014wn-QA-GomezAdornoEt2014.pdf
	BASE
	Show details

12	Syntactic dependency based n-grams in rule based automatic English as second language grammar correction
	Grigori Sidorov
	In: http://www.cic.ipn.mx/~sidorov/IJCLA_SN_GRAMS_2013.pdf
	BASE
	Show details

13	Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets
	Grigori Sidorov; Sabino Mir; Francisco Viveros-jiménez...
	In: http://www.gelbukh.com/CV/Publications/2013/Empirical Study of Machine Learning Based Approach for Opinion Mining in Tweets.pdf
	BASE
	Show details

14	Lexical-Based Alignment for Reconstruction of Structure in Parallel Texts*
	Er Gelbukh; Grigori Sidorov; Liliana Chanona-hern
	In: http://www.gelbukh.com/CV/Publications/2007/Lexical-Based Alignment for Reconstruction of Structure in.pdf
	BASE
	Show details

15	On Similarity of Word Senses in Explanatory Dictionaries
	Alexander Gelbukh; Grigori Sidorov; Yoel Ledo-Mezquita
	In: http://www.gelbukh.com/cv/Publications/2003/IJT-2003-senses.pdf
	Abstract: Quality machine translation (MT) as well as of some other applications (such as information retrieval, IR) require word sense disambiguation (WSD) in the source text. However, WSD is only possible if the word senses specified in the dictionaries are really different and clearly distinguishable. We investigate the semantic closeness of different senses of the same word in a Spanish explanatory dictionary. We define the closeness between two senses as the relative number of equal or synonymous words in their definitions. We show that a considerable part of dictionary definitions (ca. 90%) are different enough to be distinguished in MT and IR. On the other hand, a considerable number of definitions (ca. 10%) are too similar to be reliably distinguished. These results suggest that MT and IR can take advantage of WSD algorithms, but for this, the similar senses reflecting too subtle meaning nuances should be clustered together to form coarser but easier distinguishable senses. The proposed method for detecting too similar senses can be incorporated into the lexicographer’s workbench to be used in development and improvement of dictionaries.
	URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.8837 http://www.gelbukh.com/cv/Publications/2003/IJT-2003-senses.pdf
	BASE
	Hide details

16	Adapting Cross-Genre Author Profiling to Language and Corpus Notebook for PAN at CLEF 2016
	Ilia Markov; Helena Gómez-Adorno; Grigori Sidorov...
	In: http://ceur-ws.org/Vol-1609/16090947.pdf
	BASE
	Show details

17	Division of Spanish Words into Morphemes with a Genetic Algorithm∗
	Er Gelbukh; Grigori Sidorov; Diego Lara-reyes...
	In: http://www.gelbukh.com/CV/Publications/2008/Division of Spanish Words into Morphemes with a Genetic.pdf
	BASE
	Show details

18	Rule-based System for Automatic Grammar Correction Using Syntactic N-grams for English Language Learning (L2)
	Grigori Sidorov; Anubhav Gupta; Martin Tozer...
	In: http://aclweb.org/anthology/W/W13/W13-3613.pdf
	BASE
	Show details

19	Some Linguistic Methods of Improving of the Quality of Document Retrieval on the Internet
	Er Gelbukh; Grigori Sidorov; Yoel Ledo-mezquita
	In: http://www.gelbukh.com/CV/Publications/2005/Some Linguistic Methods of Improving the Quality.pdf
	BASE
	Show details

20	Incorporating Linguistic Information to Statistical Word-Level Alignment ⋆
	Eduardo Cendejas; Grettel Barceló; Er Gelbukh...
	In: http://www.gelbukh.com/CV/Publications/2009/Incorporating Linguistic Information to Statistical.pdf
	BASE
	Show details

Page: 1 2

© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern