<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The modal verbs of necessity and obligation, a testing ground of grammatical change, have been shown to exhibit change and variation in world Englishes. Previous studies have primarily concentrated on English as a native language (ENL) and English as a second language (ESL) varieties. The present study extends this line of research and explores variation in modal verbs of necessity and obligation in English use as a Lingua Franca (ELF). Descriptive statistics indicate that ELF resembles American English and also shares similarities with ESL varieties. In addition, ELF further exhibits divergence from both ENL and ESL varieties that arises in multilingual interactions. The multivariate analysis of this study employs mixed-effects logistic regression on the use of must and have to. Integrating social and linguistic factors, this analysis exploits metadata gathered from the VOICE corpus, which has thus far been underused. The results of the inferential statistics indicate that the same sociolinguistic factors that influence the variation in ENL and ESL varieties also shape ELF grammar. These findings not only bring ELF closer to other English varieties but also demonstrate the advantage of studying ELF from a variationist sociolinguistic perspective.</p>
</abstract>

The modal verbs of necessity and obligation, a testing ground of grammatical change, have been shown to exhibit change and variation in world Englishes. Previous studies have primarily concentrated on English as a native language (ENL) and English as a second language (ESL) varieties. The present study extends this line of research and explores variation in modal verbs of necessity and obligation in English use as a Lingua Franca (ELF). Descriptive statistics indicate that ELF resembles American English and also shares similarities with ESL varieties. In addition, ELF further exhibits divergence from both ENL and ESL varieties that arises in multilingual interactions. The multivariate analysis of this study employs mixed-effects logistic regression on the use of must and have to. Integrating social and linguistic factors, this analysis exploits metadata gathered from the VOICE corpus, which has thus far been underused. The results of the inferential statistics indicate that the same sociolinguistic factors that influence the variation in ENL and ESL varieties also shape ELF grammar. These findings not only bring ELF closer to other English varieties but also demonstrate the advantage of studying ELF from a variationist sociolinguistic perspective.

Exploring variation in English as a lingua franca: Multivariate analysis of modal verbs of obligation and necessity in the VOICE corpus

ICAME Journal

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

The modal verbs of necessity and obligation, a testing ground of grammatical change, have been shown to exhibit change and variation in world Englishes....

Exploring variation in English as a lingua franca: Multivariate analysis of modal verbs of obligation and necessity in the VOICE corpus

Data publikacji: 28 maj 2024

Zakres stron: 49 - 65

Otrzymano: 22 gru 2023

Przyjęty: 02 lut 2024

DOI: https://doi.org/10.2478/icame-2024-0003

Słowa kluczowe
grammatical change, ELF, sociolinguistics, modal verbs, mixed-effects, logistic regression

© 2024 Chunyuan Nie, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Exploring variation in English as a lingua franca: Multivariate analysis of modal verbs of obligation and necessity in the VOICE corpus

Data publikacji: 28 maj 2024

Zakres stron: 49 - 65

Otrzymano: 22 gru 2023

Przyjęty: 02 lut 2024

DOI: https://doi.org/10.2478/icame-2024-0003

Słowa kluczowegrammatical change, ELF, sociolinguistics, modal verbs, mixed-effects, logistic regression

© 2024 Chunyuan Nie, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
grammatical change, ELF, sociolinguistics, modal verbs, mixed-effects, logistic regression