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#YouAreWhatYouTweetCHHH: Identity and fricative epithesis in French-language tweets

Published online by Cambridge University Press:  13 July 2022

Amanda Dalola*
Affiliation:
Department of Languages, Literatures & Cultures, University of South Carolina, Columbia, SC, USA
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Abstract

Phrase-final fricative epithesis (PFFE), often indicated in informal writing with a final -h or -ch, e.g. beaucoup_h, oui_ch, is a sociophonetic variable of Hexagonal French in which utterance-final vowels give way to intense fricative-like whistles. Production research has found PFFE to be used at equal rates among men and women, and perception research has found that native French speakers perceive it to mark either formal speech or intense affect. This research furthers the special issue’s line of inquiry on French variation in forms of digital media by extending the analysis to a sociophonetic variable with a robust life on Twitter. The study compares the pragmatic value of tweets containing PFFE with previously described values and then examines interactions of gender, hostword phrasal location and lexical frequency on its realization. 96.8% of PFFE occurrences in the 2060-token corpus were classified into the pragmatic categories of Formality and Intense Affect. Results suggest that PFFE has become a salient enough sociophonetic variable that 21st-century French users represent it graphically in their tweets, however, its usage is structurally more permissive than in spoken language, signaling that it has taken on an iconic value in digital spaces.

Information

Type
Article
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. PFFE on the spectrogram: venu ‘came’. The PFFE corresponds to the final, highlighted segment—characterized by the lack of a voicing band (spectrogram) and the presence of aperiodic energy (waveform) – immediately following the articulation of the vowel [y] – characterized by the presence of full formant structure (spectrogram) and periodic energy (waveform).

Figure 1

Table 1. Tweet counts per affect category

Figure 2

Table 2. Factorial Logistic Regression: Affect Category as Predicted by Gender and Structural Position

Figure 3

Table 3. Factorial Logistic Regression: PFFE in Formality Category as Predicted by Gender and Location in Phrase

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Figure 2. PFFE Occurrences in Formality Category by Gender.

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Table 4. Factorial Logistic Regression: PFFE in Intense Affect Category as predicted by Gender and Location in Phrase

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Figure 3. PFFE Occurrences in Intense Affect Category by Gender.

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Table 5. Factorial Linear Regression: Lexical Frequency in Words with PFFE as Predicted by Gender and Location in Phrase

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Figure 4. Frequency Class by Gender and Location in Phrase.