The dominant features of the internet linguistics

Autor: Valentyna Zaiets, Nataliia Zadorizhna, Iryna Ilchenko, Svitlana Sablina, Hanna Udovichenko, Liudmyla Zahorodnia
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Revista EntreLínguas, Vol 7, Iss 00 (2021)
ISSN: 2447-3529
Popis: This research aims at the modern Internet linguistics features by carrying out linguistic analysis using descriptive statistics of students in distance learning. A linguistic analysis found that most students used lexical, orthographic, paralinguistic, and graphic features when communicating in an online classroom. A total of 452 messages, containing a corpus of 6,340 words, were analyzed and found that only 23.72% of the total corpus was found with lexical, spelling, paralinguistic and graphical features at the Massachusetts Institute of Technology, 22.63% at Stanford University, 21.78% at Harvard University, 24.58% at the California Institute of Technology and 22.76% at Oxford University.
Databáze: OpenAIRE