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Faculté de Philosophie et Lettres
Faculté de Philosophie et Lettres
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Neologisms and nonce-word formations in English-language tweets

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Filipovich, Katsiaryna ULiège
Promotor(s) : Van linden, An ULiège
Date of defense : 26-Aug-2020/5-Sep-2020 • Permalink : http://hdl.handle.net/2268.2/10324
Details
Title : Neologisms and nonce-word formations in English-language tweets
Author : Filipovich, Katsiaryna ULiège
Date of defense  : 26-Aug-2020/5-Sep-2020
Advisor(s) : Van linden, An ULiège
Committee's member(s) : Möller, Robert ULiège
Perrez, Julien ULiège
Language : English
Number of pages : 75
Keywords : [en] neologisms, Twitter, word-formation
Discipline(s) : Arts & humanities > Languages & linguistics
Target public : General public
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en langues et lettres modernes, orientation générale, à finalité didactique
Faculty: Master thesis of the Faculté de Philosophie et Lettres

Abstract

[en] This thesis investigated neologisms created on Twitter and their ways of formation. Such study is important in finding out the probable factors that influence the understanding of newly-coined words, especially in English language learners. Data encompasses a corpus of 826992 English-language tweets (‘English Tweet Stratified Random Sample’, 2012), and the lexical items collected were analyzed with the help of AntConc tool. The study considered qualitative and quantitative analyses. The findings from this research show that blending, conversion and semantic change are the most prominent word-formation types in Twitter. Mixed formations frequently occur, involving conversion as a key element. Such methods as conversion and semantic change, particularly when combined, affect the meaning of the word, creating a neologism that is difficult to decode. The end of the study suggests classroom activities for students. These exercises should train language learners to guess the meaning from the context and introduce morphological aspects of the language.


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Access TFE_Filipovich_Katsiaryna.pdf
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Annexe(s)

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Access Neologisms_in_Twitter.xlsx
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Size: 17.64 kB
Format: Microsoft Excel XML
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Access antconc_wordlist_tweets.xlsx
Description: corpus
Size: 20.96 MB
Format: Microsoft Excel XML

Author

  • Filipovich, Katsiaryna ULiège Université de Liège > Master lang. & lettres mod, or. gén., à fin.

Promotor(s)

Committee's member(s)

  • Möller, Robert ULiège Université de Liège - ULiège > Département de langues modernes : ling., litt. et trad. > Lang.,linguist.synchro.& diachro.de l'all.-Litt.all. M.A.
    ORBi View his publications on ORBi
  • Perrez, Julien ULiège Université de Liège - ULiège > Département de langues modernes : ling., litt. et trad. > Langue néerlandaise moderne et linguistique synchronique
    ORBi View his publications on ORBi
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