Particle stacking in Singlish – new data from the national speech corpus

Particle stacking, a phenomenon that sees more than one sentence-final particle used to mark an utterance, occurs in various languages, including Singlish, also commonly known as Colloquial Singapore English (CSE) or Singapore Colloquial English (SCE). In this paper, we provide novel empirical data...

Full description

Saved in:
Bibliographic Details
Main Authors: Boo, Ashley, Lee, Junwen, Tan, Ying Ying
Other Authors: School of Humanities
Format: Article
Language:English
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10356/169040
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-169040
record_format dspace
spelling sg-ntu-dr.10356-1690402023-06-27T07:09:30Z Particle stacking in Singlish – new data from the national speech corpus Boo, Ashley Lee, Junwen Tan, Ying Ying School of Humanities Humanities::Language Singlish Colloquial Singapore English Particle stacking, a phenomenon that sees more than one sentence-final particle used to mark an utterance, occurs in various languages, including Singlish, also commonly known as Colloquial Singapore English (CSE) or Singapore Colloquial English (SCE). In this paper, we provide novel empirical data on particle stacking in Singlish using the National Speech Corpus (NSC). A frequency analysis of particle stacks containing the Singlish particles hor, lah and meh in the NSC shows that most of the particle stacks are declarative-interrogative pairs where the first particle is used in assertions while the second particle has a backchannelling function, which is consistent with particles stacks observed in other languages. We also identify two particle stacks in Singlish – lah dey and lah sia – where the second particle does not overtly solicit the addressee's response. We propose that dey and sia, together with the backchannelling particles, form a larger class of addressee-oriented particles based on their shared function of targeting the addressee's attention. Ministry of Education (MOE) This research is supported by the Ministry of Education, Singapore, under its Academic Research Fund Tier 2 (MOE2019-T2-1-084). 2023-06-27T07:09:30Z 2023-06-27T07:09:30Z 2023 Journal Article Boo, A., Lee, J. & Tan, Y. Y. (2023). Particle stacking in Singlish – new data from the national speech corpus. Lingua, 287, 103513-. https://dx.doi.org/10.1016/j.lingua.2023.103513 0024-3841 https://hdl.handle.net/10356/169040 10.1016/j.lingua.2023.103513 2-s2.0-85150912705 287 103513 en MOE2019-T2-1-084 Lingua © 2023 Elsevier B.V. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Humanities::Language
Singlish
Colloquial Singapore English
spellingShingle Humanities::Language
Singlish
Colloquial Singapore English
Boo, Ashley
Lee, Junwen
Tan, Ying Ying
Particle stacking in Singlish – new data from the national speech corpus
description Particle stacking, a phenomenon that sees more than one sentence-final particle used to mark an utterance, occurs in various languages, including Singlish, also commonly known as Colloquial Singapore English (CSE) or Singapore Colloquial English (SCE). In this paper, we provide novel empirical data on particle stacking in Singlish using the National Speech Corpus (NSC). A frequency analysis of particle stacks containing the Singlish particles hor, lah and meh in the NSC shows that most of the particle stacks are declarative-interrogative pairs where the first particle is used in assertions while the second particle has a backchannelling function, which is consistent with particles stacks observed in other languages. We also identify two particle stacks in Singlish – lah dey and lah sia – where the second particle does not overtly solicit the addressee's response. We propose that dey and sia, together with the backchannelling particles, form a larger class of addressee-oriented particles based on their shared function of targeting the addressee's attention.
author2 School of Humanities
author_facet School of Humanities
Boo, Ashley
Lee, Junwen
Tan, Ying Ying
format Article
author Boo, Ashley
Lee, Junwen
Tan, Ying Ying
author_sort Boo, Ashley
title Particle stacking in Singlish – new data from the national speech corpus
title_short Particle stacking in Singlish – new data from the national speech corpus
title_full Particle stacking in Singlish – new data from the national speech corpus
title_fullStr Particle stacking in Singlish – new data from the national speech corpus
title_full_unstemmed Particle stacking in Singlish – new data from the national speech corpus
title_sort particle stacking in singlish – new data from the national speech corpus
publishDate 2023
url https://hdl.handle.net/10356/169040
_version_ 1772826860744343552