SMS communication : a linguistic approach / edited by Louise-Amélie Cougnon, Catholic, Cédrick Fairon.

Includes bibliographical references and index.

Print version record.

SMS Communication; Editorial page ; Title page ; LCC data ; Table of contents; Acknowledgements; Foreword; Introduction; Seek & Hide: Anonymising a French SMS Corpus Using Natural Language Processing Techniques; Introduction; 1. Literature review; 2. Seek & Hide: A system for anonymising a French corpus; 2.1 The Automatic Phase; 2.1.1 Purpose; 2.1.2 Process: The Seek & Hide Algorithm; 2.1.3 Heuristics for SMS processing; The LRepet Algorithm; 2.2. The Semi-automatic Phase; 3. Experiments; 3.1 Experimental Protocol; 3.2. Global Analysis of the Seek & Hide Results; 3.2.1 Method of Evaluation.

3.2.2 Evaluation of the Seek & Hide HeuristicsConclusion and Future Work; Acknowledgements; References; Summary; SMS Experience and Textisms in Young Adolescents; Introduction; 1. Orthographic forms of SMSs (textisms) in young adolescents; 2. Research objectives; 3. Method; 3.1 Participants; 3.2 Materials; 3.3 Procedure; 3.4 Coding; 4. Results; 4.1 Different types of textisms; 4.2 The density of textisms; Conclusions; Acknowledgments; References; Summary; Automatic or Controlled Writing?; Introduction; 1. Writing and working memory; 2. SMS and spelling; Objectives; 3. Method; 3.1 Participants.

3.2 Measures3.2.1 Spelling Level Test (TNO); 3.2.2 Questionnaire; 3.2.3 Materials for the experimental protocol; 4. Procedure; 4.1 Questionnaire and TNO; 4.2 Experimental protocol; 4.3 Coding; 5. Results; 5.1 Analysis of the percentage and type of modifications; 5.2 Analysis of the spelling modification sub-categories; Discussion; Aknowledgements; References; Summary; Development of SMS language from 2000 to 2010; Introduction; 1. The two corpora; 1.1 Description of the online corpus; 1.2 Compilation of my own data; 1.2.1 Authorisation; 1.2.2 Pupils' questionnaire part A (SQ1).

1.2.3 Pupils' questionnaire part B (SQ2)2. Comparison of the data; 2.1 Classification of spelling adaptations; 2.2 Coding of the databases; 2.3 Devices used in both corpora; 2.4 Other significant features; 3. Conclusions; References; Summary; Texto4Science; Introduction; 1. Design of the Texto4science Project; 1.1 Technical Platform; 1.2 Elaboration of an Annotation Policy; 1.3 A Rich Annotation System; 1.4 Diary of the Texto4science Project; 2. Annotation System; 2.1 Specific Units; 2.2 Annotated Errors; 2.3 A Quantitative View of the Annotations; 3. Linguistic Analysis.

3.1 SMSs are Slightly Shorter than their Normalised Counterpart3.2 Abbreviations are Numerous and Ambiguous; 3.3 On the Use of Smileys; 3.4 Missing Annotations; 4. Sociolinguistic Analysis; 4.1 Contributors' Profile; 4.1.1 Personal Information; 4.1.2 Use of SMSs; 4.1.3 Abilities to Write SMSs; 4.1.4 Technical Device; 5. Discussion; 5.1 Lessons Learned; 5.2 Ongoing Projects; Acknowledgments; References; Summary; SMS communication as plurilingual communication; 1. Introduction: Code-switching and SMS communication; 1.1 Code-switching and bilingual communication.

Given the extensive use of LOL (Laughing Out Loud), MDR (Mort De Rire) and PTDR (PéTé De Rire) in French texting and the inclusion of lol in the Oxford English Dictionary in 2011 and in Le Petit Robert in 2013, this paper aims to study the functioning of these three initialisms. Considered mainly as interjections, I hypothesize that lol, mdr, and ptdr could work syntactically (through their non-integration in the syntactic clause and position) and semantically (through their semantic opacity and procedural meaning) as discou.

English.

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