By Louise-Amélie Cougnon, Cédrick Fairon
The media usually aspect an accusatory finger at new applied sciences; they recommend that there's constantly a lack of details or caliber, or maybe that computer-mediated verbal exchange is destroying language. such a lot linguists, to the contrary, are firmly confident that it truly is higher to contemplate language as an evolving and altering entity. From this perspective, language is a social instrument that should be studied in-depth in the course of the prism of objectivity, as a approach in movement that is stimulated through new social and technological stakes, instead of as a fading organism. during this quantity we learn and describe the societal phenomenon of SMS writing in its complete complexity. the purpose of this quantity is threefold: to give fresh linguistic examine within the box of SMS verbal exchange; to notify the reader approximately latest huge SMS corpora and processing instruments and, eventually, to reveal the various linguistic elements that may be studied through a corpus of textual content messages.
These articles have been formerly released in Lingvisticae Investigationes Vol. 35:2 (2012).
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Extra resources for SMS Communication: A linguistic approach
The use of this paradigm makes it possible to measure the cognitive cost of producing a written text (M. Fayol and P. J. Power 1985). Studies which have analyzed the cognitive cost of producing writing have focused on conventional writing. With the arrival of new communication tools, writing has evolved, leading to the emergence of new orthographic forms. Research into these new written forms implies that different processes come into play as they are being produced, and this research examines these different processes of orthographic SMS production.
Telling a friend in class about being late due to a bus not stopping, or letting a mother know that she forgot to buy dog food). The average age at which the first mobile phone was acquired was 9 and the participants therefore had approximately one and a half years of experience. 28 for boys). : 2moro for tomorrow). P. Plester, M. K. Lerkkanen, L. Linjama, H. Rasku-Puttonen and K. Littleton (2011) analysed the SMSes of 65 young Finnish adolescents between the ages of 9 and 11 (mean age: 10 years and 7 months).
9% and 100% according to the applied algorithms) shows that these algorithms are indeed an effective aid to our system. Conclusion and future work The system proposed in this article performs the anonymisation/de-identification of a corpus. To this end, it uses (a) a dictionary of first names and (b) anti-dictionaries (of ordinary language and of some forms of SMS writing) to identify the words that require anonymisation. Note that the adopted principle is sufficiently generic for it to be adapted to various types of corpus, irrespective of their language.