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A Standardized Project Gutenberg Corpus for Statistical Analysis of Natural Language and Quantitative Linguistics [PDF]

open access: goldEntropy, 2020
The use of Project Gutenberg (PG) as a text corpus has been extremely popular in statistical analysis of language for more than 25 years. However, in contrast to other major linguistic datasets of similar importance, no consensual full version of PG ...
Martin Gerlach, Francesc Font-Clos
doaj   +4 more sources

Beyond the Zipf-Mandelbrot law in quantitative linguistics [PDF]

open access: green, 2001
In this paper the Zipf-Mandelbrot law is revisited in the context of linguistics. Despite its widespread popularity the Zipf--Mandelbrot law can only describe the statistical behaviour of a rather restricted fraction of the total number of words ...
Cohen   +11 more
core   +3 more sources

Letter counting: a stem cell for Cryptology, Quantitative Linguistics, and Statistics [PDF]

open access: green, 2012
Counting letters in written texts is a very ancient practice. It has accompanied the development of Cryptology, Quantitative Linguistics, and Statistics. In Cryptology, counting frequencies of the different characters in an encrypted message is the basis
Ycart, Bernard
core   +4 more sources

R as a Lingua Franca: Advantages of Using R for Quantitative Research in Applied Linguistics [PDF]

open access: green, 2016
In this article, we suggest that using R, a statistical software environment, is advantageous for quantitative researchers in applied linguistics. We first provide a brief overview of the reasons why R is popular among researchers in other fields and why
Luke PLONSKY   +2 more
core   +4 more sources

Tracing contact and migration in pre-Bantu Southern Africa through lexical borrowing [PDF]

open access: yesEvolutionary Human Sciences
Lexical borrowing may provide valuable clues about the sociohistorical context of language contact. Here we explore patterns of vocabulary transfer between languages from three families (Kx’a, Tuu, Khoe-Kwadi) comprising the linguistic unit commonly ...
Anne-Maria Fehn   +6 more
doaj   +2 more sources

Quranic Studies Made in Austria: Approaching Quantitative Arabic Linguistics

open access: diamondمجلة كلية الشريعة والدراسات الإسلامية, 2020
Purpose: The aim of this article is to outline the interest in the Arabic language in Europe and the beginnings of teaching Arabic and establishing Arabic studies in Europe before introducing Quranic studies in Austria as such.
Orhan Elmaz
doaj   +5 more sources

Exploring Word-Adjacency Networks with Multifractal Time Series Analysis Techniques [PDF]

open access: yesEntropy
A novel method of exploring linguistic networks is introduced by mapping word-adjacency networks to time series and applying multifractal analysis techniques.
Jakub Dec   +5 more
doaj   +2 more sources

Parlez-vous #hashtag ? Quelques éclairages sur l’anglicisme hashtag et ses substituts français mot-dièse et mot-clic [PDF]

open access: yesSHS Web of Conferences, 2022
Cet article porte sur hashtag, un anglicisme, et ses substituts français mot-dièse et mot-clic à partir de l’observation d’un corpus d’occurrences. L’analyse quantitative montre que le mot hashtag s’emploie le plus fréquemment en France, alors qu’au ...
Schuring Melissa, Vanderheyden Anne
doaj   +1 more source

Reassembling the Pimped Ride: A Quantitative Look at the Integration of a Borrowed Expression

open access: yesFrontiers in Communication, 2022
Over the past decades, research on the linguistic impact of globalization has foregrounded the socio-pragmatic meaning potential and mental categorization of anglicisms, looking for signs of agentivity and contextual sensitivity in the way receptor ...
Stefano De Pascale   +3 more
doaj   +1 more source

Have media texts become more humorous?

open access: yesThe European Journal of Humour Research, 2023
As a research topic, humour has drawn much attention from multiple disciplines including linguistics. Based on Engelthaler & Hills’ (2018) humour scale, this study developed a measure named Humour Index (HMI) to quantify the degree of humour of texts ...
Haoran Zhu, Yueqing Deng
doaj   +1 more source

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