A corpus-based analysis of mixed code in Hong Kong speech

John Lee

doi:10.1109/IALP.2012.10

A corpus-based analysis of mixed code in Hong Kong speech

John Lee^*

^*Corresponding author for this work

The Halliday Centre for Intelligent Applications of Language Studies

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

6 Citations (Scopus)

Abstract

We present a corpus-based analysis of the use of mixed code in Hong Kong speech. From transcriptions of Cantonese television programs, we identify English words embedded within Cantonese utterances, and investigate the motivations for such code-switching. Among the many motivations observed in previous research, we found that four alone account for more than 95% of the use of English words in our speech data across genres, genders, and age groups. We performed analyses over more than 60 hours of transcribed speech, resulting in one of the largest empirical studies to-date on this linguistic phenomenon. © 2012 IEEE.

Original language	English
Title of host publication	Proceedings - 2012 International Conference on Asian Language Processing, IALP 2012
Publisher	IEEE Computer Society
Pages	165-168
DOIs	https://doi.org/10.1109/IALP.2012.10
Publication status	Published - 2012
Event	2012 International Conference on Asian Language Processing, IALP 2012 - Hanoi, Viet Nam Duration: 13 Nov 2012 → 15 Nov 2012

Conference

Conference	2012 International Conference on Asian Language Processing, IALP 2012
Place	Viet Nam
City	Hanoi
Period	13/11/12 → 15/11/12

Research Keywords

Cantonese
Code-mixing
Code-switching
Corpus linguistics
English

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title = "A corpus-based analysis of mixed code in Hong Kong speech",

abstract = "We present a corpus-based analysis of the use of mixed code in Hong Kong speech. From transcriptions of Cantonese television programs, we identify English words embedded within Cantonese utterances, and investigate the motivations for such code-switching. Among the many motivations observed in previous research, we found that four alone account for more than 95\% of the use of English words in our speech data across genres, genders, and age groups. We performed analyses over more than 60 hours of transcribed speech, resulting in one of the largest empirical studies to-date on this linguistic phenomenon. {\textcopyright} 2012 IEEE.",

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booktitle = "Proceedings - 2012 International Conference on Asian Language Processing, IALP 2012",

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AB - We present a corpus-based analysis of the use of mixed code in Hong Kong speech. From transcriptions of Cantonese television programs, we identify English words embedded within Cantonese utterances, and investigate the motivations for such code-switching. Among the many motivations observed in previous research, we found that four alone account for more than 95% of the use of English words in our speech data across genres, genders, and age groups. We performed analyses over more than 60 hours of transcribed speech, resulting in one of the largest empirical studies to-date on this linguistic phenomenon. © 2012 IEEE.

KW - Cantonese

KW - Code-mixing

KW - Code-switching

KW - Corpus linguistics

KW - English

UR - https://www.scopus.com/pages/publications/84900839764

UR - https://www.scopus.com/pages/publications/84900839764#tab=impact

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DO - 10.1109/IALP.2012.10

M3 - RGC 32 - Refereed conference paper (with host publication)

SP - 165

EP - 168

BT - Proceedings - 2012 International Conference on Asian Language Processing, IALP 2012

PB - IEEE Computer Society

T2 - 2012 International Conference on Asian Language Processing, IALP 2012

Y2 - 13 November 2012 through 15 November 2012

ER -

A corpus-based analysis of mixed code in Hong Kong speech

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Research Keywords

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