Le Cheng

Prof. Dr. Le Cheng

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 January 2020 in Environment, Development and Sustainability
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Journal Article
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Zhe ChengZhe Cheng
Zhe Cheng
HWHuanming Wang
Huanming Wang
WXWei Xiong
Wei Xiong
DZDajian Zhu
Dajian Zhu
LCLe Cheng
Le Cheng

1 January 2008 in Semiotica
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Journal Article
Closed access
LCLe Cheng
Le Cheng
KSKing Kui Sin
King Kui Sin
Equivalence has been a critical issue in translation, as well as in legal translation. Based on a literature review of the concept of equivalence and analysis of the features of legal discourses, the article adopts a semiotic approach to the translation of legal terms. By adapting some principal propositions in semiotics, the paper argues that total equivalence can be achieved via meta-lingual adjustment, because a sign is not born with meaning but invested with reference by a sign user. The paper also provides some linguistic strategies for realizing terminological equivalence in legal translation, such as the use of a semantic reference scheme, componential analysis, and the principle of productivity and economy.

1 April 2023 in International Journal of Legal Discourse
Verified
Journal Article
Closed access
LCLe Cheng
Le Cheng
XLXiuli Liu
Xiuli Liu
The ascendancy and ubiquity of generative AI technology, exemplified by ChatGPT, has resulted in a transformative shift in the conventional human–AI interaction paradigm, leading to substantial alterations in societal modes of production. Drawing on CDA approach, this study conducts a thematic intertextuality analysis of 29 AI ethical documents, and delves into the restructuring of the human–AI relations catalysed by ChatGPT, as well as the complex ethical and legal challenges it presents. The findings indicate that the thematic intertextuality between AI ethical discourse and legal discourse promotes the connection and convergence of narrative-ideological structures, which in turn primarily creates new meaningful texts and ethical frameworks that promote a holistic approach to a good AI society. This research also identifies the importance of integrating law-making efforts with substantive ethical analysis and appropriate discursive strategies to promote the responsible and ethical development of generative AI that benefits society as a whole.

11 October 2012 in Semiotica
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Journal Article
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LCLe Cheng
Le Cheng
WCWinnie Lai Sheung CHENG
Winnie Lai Sheung CHENG
This study investigates some cases related to the interpretation of law in Right of Abode cases heard by the Court of Final Appeal of Hong Kong, and discusses the sharp contrast between the different versions of interpretation of the same legislative expressions as the same signs in similar cases heard by the same court. This study does not aim to find out the legislative intent of legislation, but to investigate the process of meaning-making in general and the intent seeking in these cases in particular from a socio-semiotic perspective. The study concludes that meaning-making in legal settings is neither purely a jurisprudential operation nor the choice among different canons of legal interpretation. It is rather the dialogue demonstrated in various forms, such as power negotiation and interest weighing. The study, therefore, argues that legal interpretation is a social practice and meaning-making in legal settings is an enterprise of social dialogue and power negotiation; in other words, legal interpretation is in a sense an inter-semiotic operation between law and its interfaces with society and politics.

2 March 2021 in Sustainability
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GPGwijeong Park
Gwijeong Park
FCFangxin Chen
Fangxin Chen
LCLe Cheng
Le Cheng
Whether in terms of social media platforms, mobile pay apps or an increasing acceptance of RFID chips in humans, technology has transformed everyday life for consumers. Social networks have experienced enormous growth as online personal networking media. Social exchange theory (for motivation and social reward) and theories of collective action can be applied in order to understand how an individual’s behavior may exert effects on or receive influences from other users with regard to the continuance usage intention of social apps. First, this study aims to examine behavioral characteristics of the Millennials, and takes flow and social reward systematically so as to explore SNS users’ continuance based on SNS characteristics. Targeting Millennials SNS users, this study empirically examines users’ continuance intention at individual level and simulates users’ continuance behavior at group level, which are expected to be influential as a next generation of purchasing group, focusing on social network services (SNS) usage. Second, this study tries to suggest strategic implications by identifying key factors that dominate SNS users’ behavior in the process of experiencing SNS. For the empirical purpose, this study analyzes the relationship between SNS characteristics (motivation to use, density, and centrality) and usage behavior (flow, social reward, and continuous intention to use). As a result, each construct of motivation to use SNS, SNS density, and SNS centrality are positively linked with flow. Motivation to use SNS and SNS centrality are positively associated with social reward, however, SNS density does not have a significant effect on social reward. In addition, flow and social reward turn out to have positive linkage with continuous intention to use respectively. The findings of this study are expected to provide implications for researchers and operators in related fields to identify various factors that explain the SNS usages of the Millennials, especially the major factors that sustain SNS involvement and activities. This study can enrich both SNS continuance theory, and help SNS operators to manipulate resources effectively to attract and retain users.

1 December 2019 in Glottotheory
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Journal Article
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JLJing Li
Jing Li
LLLei Lei
Lei Lei
LCLe Cheng
Le Cheng
The present study employs a bibliometric analysis to examine the research trends in the field of evaluation , appraisal and stance . The bibliometric information of publications between 2000 and 2015 was retrieved from the Web of Science SSCI Core Collection database. The indicators analyzed include the number of publications by year, most frequently explored topics, most cited works, major individual contributors, publication venues, distribution among countries/regions and institutions. Our findings showed that the annual publications increased dramatically, revealing an upward trend in this research field. The results concerning the most frequently addressed topics suggested that EAP has been a fruitful domain in terms of the evaluative dimension of discourse. Besides, future research will feature more discipline-specific and language-specific empirical studies and comparative cross-linguistic studies. Pedagogical applications of evaluation research also need to be explored. Citation results indicated that the groundbreaking monographs in this field generate the highest citation counts, and that the most cited works cover a variety of sub-fields of linguistics, which may further prove the heterogeneous nature of the evaluative dimension of language.