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Inform. Primen., 2017, Volume 11, Issue 1, Pages 100–108 (Mi ia463)  

This article is cited in 8 scientific papers (total in 8 papers)

Supracorpora database on connectives: term system development

Anna A. Zaliznyakab, I. M. Zatsmanb, O. Yu. Inkovac

a Institute of Linguistics, Russian Academy of Sciences, 1-1 Bolshoy Kislovskiy Per., Moscow 125009, Russian Federation
b Institute of Informatics Problems, Federal Research Center Computer Science and Control of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
c University of Geneva, 22 Bd des Philosophes, CH-1205 Geneva 4, Switzerland

Abstract: The article considers a supracorpora database (SCDB) — a new type of linguistic information resource. The SCDB contains aligned parallel texts wherein source language sentences are aligned with target language sentences. One distinctive feature of the SCDB is that it supports annotating the examined linguistic items (in this case, connectives). Another important feature is that cross-linguistic annotating makes it possible to reveal a wide spectrum of new entities and concepts, both in informatics and linguistics. For description of these entities and concepts, a new multidisciplinary term system is proposed. On the one hand, the proposed terms are used by linguists for description of new basic knowledge generated as a result of contrastive analysis of Russian connectives. On the other hand, the design of architecture and functional subsystems of the SCDB is based on these terms, and they are used for the development of respective information, linguistic and software tools. Finally, the term system is required for comparison of the presented outcomes of the project with similar results of other projects.

Keywords: supracorpora database; term system; connectives; linguistic annotation; parallel texts; corpus linguistics; chronotypical faceted classification.

Funding Agency Grant Number
Russian Humanitarian Science Foundation 16-24-41002
Swiss National Science Foundation IZLRZ1 164059
This research was performed in the Institute of Informatics Problems, Federal Research Center Computer Science and Control of the Russian Academy of Sciences, with financial support of the Russian Foundation for Basic Research (project No. 16-24-41002) and Swiss National Science Foundation (project No. IZLRZ1 164059).


DOI: https://doi.org/10.14357/19922264170109

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Received: 17.01.2017

Citation: Anna A. Zaliznyak, I. M. Zatsman, O. Yu. Inkova, “Supracorpora database on connectives: term system development”, Inform. Primen., 11:1 (2017), 100–108

Citation in format AMSBIB
\Bibitem{ZalZatInk17}
\by Anna~A.~Zaliznyak, I.~M.~Zatsman, O.~Yu.~Inkova
\paper Supracorpora database on connectives: term system development
\jour Inform. Primen.
\yr 2017
\vol 11
\issue 1
\pages 100--108
\mathnet{http://mi.mathnet.ru/ia463}
\crossref{https://doi.org/10.14357/19922264170109}
\elib{http://elibrary.ru/item.asp?id=29159459}


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    Citing articles on Google Scholar: Russian citations, English citations
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    This publication is cited in the following articles:
    1. I. M. Zatsman, O. S. Mamonova, A. Yu. Schurova, “Obratimost i alternativnost generalizatsii modelei perevoda konnektorov v parallelnykh tekstakh”, Sistemy i sredstva inform., 27:2 (2017), 125–142  mathnet  crossref  elib
    2. O.  Inkova, N. Popkova, “Statistical data as information source for linguistic analysis of Russian connectors”, Inform. i ee primen., 11:3 (2017), 123–131  mathnet  crossref  elib
    3. I. M. Zatsman, M. G. Kruzhkov, E. Yu. Loschilova, “Metody analiza chastotnosti modelei perevoda konnektorov i obratimost generalizatsii statisticheskikh dannykh”, Sistemy i sredstva inform., 27:4 (2017), 164–176  mathnet  crossref  elib
    4. N. V. Buntman, O. Yu. In'kova, V. A. Nuriev, “Machine translation of Russian connectives into French: errors and quality failures”, Inform. i ee primen., 12:2 (2018), 105–113  mathnet  crossref  elib
    5. N. V. Buntman, I. M. Zatsman, V. A. Nuriev, A. A. Goncharov, “Kolichestvennyi analiz rezultatov mashinnogo perevoda s ispolzovaniem nadkorpusnykh baz dannykh”, Inform. i ee primen., 12:4 (2018), 96–105  mathnet  crossref  elib
    6. I. M. Zatsman, “Stadii tselenapravlennogo izvlecheniya znanii, implitsirovannykh v parallelnykh tekstakh”, Sistemy i sredstva inform., 28:3 (2018), 175–188  mathnet  crossref  elib
    7. I. M. Zatsman, M. G. Kruzhkov, “Nadkorpusnaya baza dannykh konnektorov: razvitie sistemy terminov proektirovaniya”, Sistemy i sredstva inform., 28:4 (2018), 156–167  mathnet  crossref  elib
    8. I. M. Zatsman, “Tselenapravlennoe razvitie sistem lingvisticheskikh znanii: vyyavlenie i zapolnenie lakun”, Inform. i ee primen., 13:1 (2019), 91–98  mathnet  crossref  elib
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