Abstract
ABSTRACT
 This study aims to examine the linguistic features of English and Indonesian languages in students’ text messages sent to their lecturers. Content analysis is employed and the data are the linguistic features identified in 1,521 students’ text messages delivered to the lecturers. The findings confirm the results of the former studies in that the typographic features of emoticons, letter deletion, rebus writing, and phonetic spelling and morphological features of initialism, abbreviation, reduplication, truncation, and casual style of spoken dictions are employed—the features linguistically creating a special register called textese recognized by non-standard form or textisms. The mechanics of languages are featured by the lack of compliance with the conventional usage of full stops, commas, and capitals; even less than ten percent of spaces considered inevitably used are not conventionally emploed. Dominant uses of one-claused sentences feature the syntax of the languages. 
 
 Keywords: linguistic features, text messaging, typography, morphology, and syntax.
Highlights
Text messaging or texting, a means of exchanged every day are 60,000 written communication mediated by millions (Stout, 2020)
The preceeding computers and electronic social media with massive in communication devices known as use is Short Message Service (SMS)
The most users compared to email, facebook, or massively used media is WhatsApp tweeter was contributory to the (WA) with 1,500 millions active users emergence of electronic-mediated
Summary
A means of exchanged every day are 60,000 written communication mediated by millions (Stout, 2020). The preceeding computers and electronic social media with massive in communication devices known as use is Short Message Service (SMS). The most users compared to email, facebook, or massively used media is WhatsApp tweeter was contributory to the (WA) with 1,500 millions active users emergence of electronic-mediated. 2016), linguistic features in Facebook millions users around the world with (Magwaro, et al, 2018), English as a the average number of 50 short. 2017) and in video games (Iaia, 2016), ubiquity of SMS and WA usage diffusion of lexical change in social providing the corpora of languages in media (Eisenstein, et.el., 2014), text messaging have been the interests analysis model for the languages in of language researchers
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