Please use this identifier to cite or link to this item: http://essuir.sumdu.edu.ua/handle/123456789/31777
Or use following links to share this resource in social networks: Recommend this item
Title Using of Minimal Recursion Semantic representation for linguistic information
Authors Kanishcheva, O.V.
ORCID
Keywords лингвистическая информация
лінгвістична інформація
linguistic information
Type Conference Papers
Date of Issue 2013
URI http://essuir.sumdu.edu.ua/handle/123456789/31777
Publisher Сумський державний університет
License
Citation Kanishcheva, O.V. Using of Minimal Recursion Semantic representation for linguistic information [Текст] / O.V. Kanishcheva // Сучасні інформаційні системи і технології : матеріали Другої міжнародної науково-практичної конференції, м. Суми, 21-24 травня 2013 р. / Ред.кол.: А.С. Довбиш, О.А. Борисенко, О.В. Бондар. — Суми : СумДУ, 2013. — С. 143-145.
Abstract In this article will discuss current approaches to the representation of linguistic information. Particular attention is paid Minimal Recursion Semantic (MRS) and the Robust Minimal Recursion Semantic (RMRS) as one of the most promising directions. Shows the use of Minimal Recursion Semantic (MRS) for the Russian language. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/31777
Appears in Collections: Наукові видання (ЕлІТ)

Views

Canada Canada
4
China China
1
France France
1
Germany Germany
8
Greece Greece
1
Ireland Ireland
18085
Italy Italy
2
Japan Japan
1
Lithuania Lithuania
1
Netherlands Netherlands
3016
Russia Russia
8
Seychelles Seychelles
1
Turkey Turkey
2
Ukraine Ukraine
128583
United Kingdom United Kingdom
70320
United States United States
256283
Unknown Country Unknown Country
77
Vietnam Vietnam
1

Downloads

China China
36169
Estonia Estonia
1
Germany Germany
5
India India
1
Lithuania Lithuania
1
Poland Poland
2
Ukraine Ukraine
256283
United Kingdom United Kingdom
36169
United States United States
476397
Unknown Country Unknown Country
191
Uzbekistan Uzbekistan
1
Vietnam Vietnam
2

Files

File Size Format Downloads
Kanishcheva .pdf 225,78 kB Adobe PDF 805222

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.