TY - GEN
T1 - COVID-19 Related Expressions and Their Correlation with the Pandemic
T2 - 24th Workshop on Chinese Lexical Semantics, CLSW 2023
AU - Hong, Jia Fei
AU - Chen, Jia Ni
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - At the end of 2019, a new type of coronavirus (coronavirus disease 2019, COVID-19, also known as severe special infectious pneumonia) broke out worldwide. This novel outbreak, with many mutations, was unanticipated and caused panic throughout the global community. Simultaneously, people’s lives were flooded with information related to the epidemic; specifically, words highly related to the epidemic were frequently used, such as “que4zhen3ren2shu4”, “qian2fu2qi2”, “yi4miao2”, and other sociological words, such as “she4jiao1ju4li2”, “ge2li2”. This study focuses on 2020 when COVID-19 caused drastic social changes, and uses the words identified by the World Health Organization to explore collocations that appear frequently due to the epidemic and their relationship with disease names. By collecting the names of COVID-19 diseases commonly used by relevant newspapers and media, the usage frequency over time is analyzed, and possible explanations will be explored. In addition, the high-frequency corpus generated through this research can also be helpful for further research. Furthermore, textbook writers can also refer to the research results to compile themed textbooks to facilitate the further understanding of the use of vocabulary in various countries. Chinese teachers can begin with high-frequency corpus and words, arrange appropriate course content for learners, and enable learners to better understand the impact of COVID-19 on the world through thematic learning.
AB - At the end of 2019, a new type of coronavirus (coronavirus disease 2019, COVID-19, also known as severe special infectious pneumonia) broke out worldwide. This novel outbreak, with many mutations, was unanticipated and caused panic throughout the global community. Simultaneously, people’s lives were flooded with information related to the epidemic; specifically, words highly related to the epidemic were frequently used, such as “que4zhen3ren2shu4”, “qian2fu2qi2”, “yi4miao2”, and other sociological words, such as “she4jiao1ju4li2”, “ge2li2”. This study focuses on 2020 when COVID-19 caused drastic social changes, and uses the words identified by the World Health Organization to explore collocations that appear frequently due to the epidemic and their relationship with disease names. By collecting the names of COVID-19 diseases commonly used by relevant newspapers and media, the usage frequency over time is analyzed, and possible explanations will be explored. In addition, the high-frequency corpus generated through this research can also be helpful for further research. Furthermore, textbook writers can also refer to the research results to compile themed textbooks to facilitate the further understanding of the use of vocabulary in various countries. Chinese teachers can begin with high-frequency corpus and words, arrange appropriate course content for learners, and enable learners to better understand the impact of COVID-19 on the world through thematic learning.
KW - Correlation
KW - COVID-19
KW - Internet-based study
KW - Pandemic
UR - http://www.scopus.com/inward/record.url?scp=85187647950&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85187647950&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-0586-3_18
DO - 10.1007/978-981-97-0586-3_18
M3 - Conference contribution
AN - SCOPUS:85187647950
SN - 9789819705856
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 216
EP - 233
BT - Chinese Lexical Semantics - 24th Workshop, CLSW 2023, Revised Selected Papers
A2 - Dong, Minghui
A2 - Hong, Jia-Fei
A2 - Lin, Jingxia
A2 - Jin, Peng
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 19 May 2023 through 21 May 2023
ER -