Lingualyzer: A computational linguistic tool for multilingual and multidimensional text analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AD2IUJ28M" target="_blank" >RIV/00216208:11320/23:D2IUJ28M - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/25:95JVJEPU
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177806072&doi=10.3758%2fs13428-023-02284-1&partnerID=40&md5=ca8996a4d032a3ed35b9b4abd66bd319" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85177806072&doi=10.3758%2fs13428-023-02284-1&partnerID=40&md5=ca8996a4d032a3ed35b9b4abd66bd319</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3758/s13428-023-02284-1" target="_blank" >10.3758/s13428-023-02284-1</a>
Alternative languages
Result language
angličtina
Original language name
Lingualyzer: A computational linguistic tool for multilingual and multidimensional text analysis
Original language description
"Most natural language models and tools are restricted to one language, typically English. For researchers in the behavioral sciences investigating languages other than English, and for those researchers who would like to make cross-linguistic comparisons, hardly any computational linguistic tools exist, particularly none for those researchers who lack deep computational linguistic knowledge or programming skills. Yet, for interdisciplinary researchers in a variety of fields, ranging from psycholinguistics, social psychology, cognitive psychology, education, to literary studies, there certainly is a need for such a cross-linguistic tool. In the current paper, we present Lingualyzer (https://lingualyzer.com), an easily accessible tool that analyzes text at three different text levels (sentence, paragraph, document), which includes 351 multidimensional linguistic measures that are available in 41 different languages. This paper gives an overview of Lingualyzer, categorizes its hundreds of measures, demonstrates how it distinguishes itself from other text quantification tools, explains how it can be used, and provides validations. Lingualyzer is freely accessible for scientific purposes using an intuitive and easy-to-use interface. © 2023, The Author(s)."
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
"Behavior Research Methods"
ISSN
1554-351X
e-ISSN
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Volume of the periodical
""
Issue of the periodical within the volume
2023
Country of publishing house
US - UNITED STATES
Number of pages
28
Pages from-to
1-28
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85177806072