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StimulStat : A lexical database for Russian. / Alexeeva, Svetlana; Slioussar, Natalia; Chernova, Daria.

в: Behavior Research Methods, Том 50, № 6, 12.2018, стр. 2305–2315.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

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Alexeeva, Svetlana ; Slioussar, Natalia ; Chernova, Daria. / StimulStat : A lexical database for Russian. в: Behavior Research Methods. 2018 ; Том 50, № 6. стр. 2305–2315.

BibTeX

@article{d9eafd0d5a5a46b88d39a3413310fe52,
title = "StimulStat: A lexical database for Russian",
abstract = "In this article, we present StimulStat – a lexical database for the Russian language in the form of a web application. The database contains more than 52,000 of the most frequent Russian lemmas and more than 1.7 million word forms derived from them. These lemmas and forms are characterized according to more than 70 properties that were demonstrated to be relevant for psycholinguistic research, including frequency, length, phonological and grammatical properties, orthographic and phonological neighborhood frequency and size, grammatical ambiguity, homonymy and polysemy. Some properties were retrieved from various dictionaries and are presented collectively in a searchable form for the first time, the others were computed specifically for the database. The database can be accessed freely at http://stimul.cognitivestudies.ru.",
keywords = "Frequency, Grammatical properties, Lexical database, Neighborhood, Russian",
author = "Svetlana Alexeeva and Natalia Slioussar and Daria Chernova",
year = "2018",
month = dec,
doi = "10.3758/s13428-017-0994-3",
language = "English",
volume = "50",
pages = "2305–2315",
journal = "Behavior Research Methods",
issn = "1554-351X",
publisher = "Springer Nature",
number = "6",

}

RIS

TY - JOUR

T1 - StimulStat

T2 - A lexical database for Russian

AU - Alexeeva, Svetlana

AU - Slioussar, Natalia

AU - Chernova, Daria

PY - 2018/12

Y1 - 2018/12

N2 - In this article, we present StimulStat – a lexical database for the Russian language in the form of a web application. The database contains more than 52,000 of the most frequent Russian lemmas and more than 1.7 million word forms derived from them. These lemmas and forms are characterized according to more than 70 properties that were demonstrated to be relevant for psycholinguistic research, including frequency, length, phonological and grammatical properties, orthographic and phonological neighborhood frequency and size, grammatical ambiguity, homonymy and polysemy. Some properties were retrieved from various dictionaries and are presented collectively in a searchable form for the first time, the others were computed specifically for the database. The database can be accessed freely at http://stimul.cognitivestudies.ru.

AB - In this article, we present StimulStat – a lexical database for the Russian language in the form of a web application. The database contains more than 52,000 of the most frequent Russian lemmas and more than 1.7 million word forms derived from them. These lemmas and forms are characterized according to more than 70 properties that were demonstrated to be relevant for psycholinguistic research, including frequency, length, phonological and grammatical properties, orthographic and phonological neighborhood frequency and size, grammatical ambiguity, homonymy and polysemy. Some properties were retrieved from various dictionaries and are presented collectively in a searchable form for the first time, the others were computed specifically for the database. The database can be accessed freely at http://stimul.cognitivestudies.ru.

KW - Frequency

KW - Grammatical properties

KW - Lexical database

KW - Neighborhood

KW - Russian

UR - http://www.scopus.com/inward/record.url?scp=85037336761&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/stimulstat-lexical-database-russian

U2 - 10.3758/s13428-017-0994-3

DO - 10.3758/s13428-017-0994-3

M3 - Article

AN - SCOPUS:85037336761

VL - 50

SP - 2305

EP - 2315

JO - Behavior Research Methods

JF - Behavior Research Methods

SN - 1554-351X

IS - 6

ER -

ID: 28272228