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2581
The use of Māori words in National Science Challenge online discourse
Calude, Andreea S.; Stevenson, Louise; Whaanga, Hēmi. - : Taylor & Francis, 2019
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2582
A relevância da Pragmática no ensino do inglês aeronáutico: um estudo baseado em corpora ; The relevance of Pragmatics in aviation English teaching: a study based on corpora
Prado, Malila Carvalho de Almeida. - : Biblioteca Digital de Teses e Dissertações da USP, 2019. : Universidade de São Paulo, 2019. : Faculdade de Filosofia, Letras e Ciências Humanas, 2019
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2583
El Tratamiento lexicográfico de la recategorización adjetivo > sustantivo en diccionarios generales de lengua española
Mahecha Mahecha, Sandra Viviana. - : Universitat Pompeu Fabra, 2019
In: TDX (Tesis Doctorals en Xarxa) (2019)
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2584
Zur Literatursprache in ausgewählten Werken der neueren österreichischen Jugendliteratur aus varietätenlinguistischer Sicht
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2585
Der Gebrauch Otto Kruses Verben des Referierens bei Masterstudierenden der Universität Wien
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2586
Academic hocus pocus: a muggle's critical analysis of Harry Potter via systemic functional grammar and discourse analysis
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2587
The labour of words in Higher Education is it time to reoccupy policy?
In: 1 ; 150 (2019)
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2588
Profiling idioms: a sociolexical approach to the study of phraseological patterns
In: 11755 ; 315 ; 329 (2019)
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2589
#Vaccineswork: Recontextualizing the content of epidemiological reports on Twitter ; Science Communication on the Internet
In: Science communication on the Internet: Old genres meet new genres. ; 173 ; 194 (2019)
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2590
The “power of incantation”: A linguistic analysis of European theme parks’ websites
In: Lingue e Linguaggi; Volume 29 (2019) - Special Issue; 425-444 (2019)
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2591
Knowledge dissemination and evidentiality in the genre of posters. Anatomy of a condensed medical discourse
In: Lingue e Linguaggi; Volume 29 (2019) - Special Issue; 67-92 (2019)
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2592
Doing things with words across time. Snapshots of communicative practices in and from the past
In: Lingue e Linguaggi; Volume 31 (2019) - Special Issue; 1-280 (2019)
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2593
Discursive practices in feminist speeches. A diachronic analysis from the Late Modern period to the present day
In: Lingue e Linguaggi; Volume 31 (2019) - Special Issue; 91-110 (2019)
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2594
Scientific controversies and popular science in translation. Rewriting, transediting or transcreation?
In: Lingue e Linguaggi; Volume 29 (2019) - Special Issue; 481-507 (2019)
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2595
Translating (im)personalisation in corporate discourse. A corpus-based analysis of Corporate Social Responsibility reports in English and Italian
In: Lingue e Linguaggi; Volume 29 (2019) - Special Issue; 205-224 (2019)
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2596
“‘WELL I DON’T LIKE ABORTION’ WELL THEN DON’T HAVE ONE”: A CORPUS-ASSISTED DISCOURSE ANALYSIS OF THE STANCE FUNCTIONS OF SOME DISCOURSE MARKERS IN MEDIATED ABORTION DEBATE
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2597
‘Crimes of passion’ or ‘horrific murders’? A corpus-based Critical Discourse Analysis of reporting on domestic and non-domestic violence in The Sydney Morning Herald and The Daily Telegraph.
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2598
Corpus-based Text Linguistics
Carla Marello; Manuel Barbera. - : Cambridge Scholars Publishing, 2019. : country:GBR, 2019. : place:Cambridge, 2019
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2599
Analyse comparative de la terminologie des médias sociaux : contribution des domaines de la communication et de l'informatique à la néologie
Abstract: L’objectif de cette étude est de repérer des néologismes à partir de corpus de textes français au moyen d’une méthode semi-automatique. Plus précisément, nous extrayons les néologismes de corpus associés à deux domaines différents, mais traitant du même thème, nous examinons leur répartition et nous les classons selon leur type. L’étude s’appuie sur l’analyse de corpus traitant des médias sociaux. Le premier aborde les médias sociaux du point de vue de la communication, l’autre le fait du point de vue de l’informatique. Ces points de vue ont été privilégiés, car la communication considère ce qui a trait l’utilisation des médias sociaux et l’informatique aborde leur cartographie. La méthode fait appel à l’extracteur de termes TermoStat pour recenser la terminologie des médias sociaux pour chaque point de vue. Ensuite, nous soumettons les 150 termes les plus spécifiques de chaque point de vue à une méthode de validation divisée en trois tests destinés à valider leur statut néologique : des dictionnaires spécialisés, des dictionnaires de langue générale et un outil de visualisation de n-grammes. Finalement, nous étiquetons les néologismes selon la typologie de Dubuc (2002). L’analyse des résultats de la communication et de l’informatique est comparative. La comparaison des deux corpus révèle les contributions respectives de la communication et de l'informatique à la terminologie des médias sociaux en plus de montrer les termes communs aux deux disciplines. L’étude a également permis de repérer 60 néologismes, dont 28 sont exclusifs au corpus de la communication, 28 exclusifs à celui de l’informatique et 4 communs aux deux corpus. La recherche révèle également que les composés par subordination sont les types de néologismes les plus présents dans nos résultats. ; The objective of this study is to identify the neologisms within corpora of French texts by means of a semi-automatic method. More precisely, we will extract the neologisms from corpora associated to two different areas; however dealing with the same topic, we examine their distribution and we classify them according to their type. This study is based on an analysis of two corpora within social media. The first one approaches social media from the point of view of communication, and the other approaches it from the point of view of computer science. We prioritize these two points of view being that communication is used as the main source of social media’s utilization and that computer science allows us to understand what is involved to allow for social media to be functional. For this method, we use the TermoStat term extractor in order to take census of terminology for each point of view. We then submit 150 of the most specific terms related to each point of view by way of an exclusion corpus from which we divide into three different tests meant to validate their neological status: specialized dictionaries, general language dictionaries, and a visualization tool for n-grams. Lastly, we label the neologisms according to Dubuc’s (2002) typology. The analysis of the results obtained for communication and computer science uses a comparative method. The comparison of the two corpora reveals the respective contributions from communication and computer science with respect to the terminology of social medias, as well it demonstrates common terms found within the two disciplines. This examination also allowed for the identification of 60 neologisms; of which 28 are exclusive to the corpus of communication, another 28 are exclusive to that of computer science, and four were found to be common to both corpora. This research also reveals that subordinate compounds are the most present types of neologisms according to our results.
Keyword: communication; computer science; corpus d'exclusion; exclusion corpus; extraction semi-automatique de termes; informatique; Language - Linguistics / Langues - Linguistique (UMI : 0290); médias sociaux; néologie; neology; semi-automatic term extraction; social medias; terminologie; terminology
URL: http://hdl.handle.net/1866/23738
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2600
Diversité et recommandation : une investigation sur l’apport de la fouille d’opinions pour la distinction d’articles d’opinion dans une controverse médiatique
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