Deep Dives into Big Data : Best Practices for Synthesis of Quantitative and Qualitative Analysis in Cognitive Linguistics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F19%3A00109829" target="_blank" >RIV/00216224:14210/19:00109829 - isvavai.cz</a>
Result on the web
<a href="https://benjamins.com/catalog/rcl.00023.jan" target="_blank" >https://benjamins.com/catalog/rcl.00023.jan</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1075/rcl.00023.jan" target="_blank" >10.1075/rcl.00023.jan</a>
Alternative languages
Result language
angličtina
Original language name
Deep Dives into Big Data : Best Practices for Synthesis of Quantitative and Qualitative Analysis in Cognitive Linguistics
Original language description
The six articles in this special issue are exemplary studies that profile the current state-of-the art in cognitive linguistics, namely the synthesis of quantitative and qualitative linguistic analysis. This introduction is an opportunity to take stock of where cognitive linguistics started out, what kinds of approaches have been developed, and how we have arrived at a synthesis in which empirical exploration informs the interpretation of language phenomena.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
60203 - Linguistics
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Review of Cognitive Linguistics
ISSN
1877-9751
e-ISSN
—
Volume of the periodical
17
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
6
Pages from-to
1-6
UT code for WoS article
000483569200001
EID of the result in the Scopus database
2-s2.0-85073167711