A Comparison of Your Better Life Index and Its Antecedents Across Two Chinese Cultures

Gao, Jennifer H.

doi:10.4018/ijabim.20210701.oa17

Cited by 3 publications

(3 citation statements)

References 30 publications

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“…Through this approach, translation can be more accurate, rich in content, and easier to understand. In translation, a single mode may not accurately convey information, so multimodal translation is a very effective translation method [3]. In the field of Chinese culture, there are many materials and articles that need to be translated into English.…”

Section: Translation Of Chinese Culturementioning

confidence: 99%

Multimodal Translation Model of Chinese Culture Based on SPSS Cluster Analysis

Nai,

Hassan

2023

Atlantis Highlights in Computer Sciences

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The dissemination of national culture is a form of expression in global communication. In the early years, international media often communicated specific cultural values to the world through "soft cultural" content such as American movies and Japanese cartoons, but the one-way communication is gradually being changed. Currently, China's soft power is increasing, and Chinese culture is also spreading to the world. In cultural research, SPSS (Statistical Product and Service Solutions) is a very important tool. It can be used for the transmission of information such as text, sound, and video data. This article aims to propose an effective method for accurately translating Chinese culture into English through the study of a multimodal translation model of Chinese culture. This article adopts methods such as case analysis and experimental research to study the multimodal translation model of Chinese culture. The results indicate that by using the multimodal translation model for materials of Chinese culture, the accuracy is relatively high, about 98%, and the error rate is relatively low.

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Section: Translation Of Chinese Culturementioning

confidence: 99%

Multimodal Translation Model of Chinese Culture Based on SPSS Cluster Analysis

Nai,

Hassan

2023

Atlantis Highlights in Computer Sciences

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“…Covers concepts about Chinese home, family, social, culture, and immigrant. [191,192,213,214] Japan Covers issues related to families and homes that are specific to Japan and Japanese society. [193][194][195][196][197][198] Australia It focuses on issues specific to the Australian society and families.…”

Section: Summary and Temporal Analysismentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

et al. 2022

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Homes are the building block of cities and societies and therefore smart homes are critical to establishing smart living and are expected to play a key role in enabling smart, sustainable cities and societies. The current literature on smart homes has mainly focused on developing smart functions for homes such as security and ambiance management. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, and the roles of smart homes that will serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public, using over a hundred thousand research papers and nearly a million tweets. We developed a methodology using deep learning, natural language processing (NLP), and big data analytics methods (BERT and other machine learning methods) and applied it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100 s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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“…Chen [223] assert that middle-class Chinese families believe higher education is necessary in order to develop their socialist ideal personas and make significant contributions to society. Gao [224] compared two Chinese cultures in terms of life index and antecedents. An association between socioeconomic inequality and life satisfaction has been found in late childhood and adolescence explained by Zou et al [225].…”

Section: Chinamentioning

confidence: 99%

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

Alqahtani¹,

Janbi²,

Sharaf³

et al. 2022

Preprint

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Technological advancements and innovations have profoundly changed the lives of people giving rise to smart environments, cities, and societies. As homes are the building block of cities and societies, smart homes are critical to establishing smart living and are expected to play a key role in enabling smart cities and societies. The current academic literature and commercial advancements on smart homes have mainly focused on developing and providing smart functions for homes to provide security management and facilitate the residents in their various activities such as ambiance management. Homes are much more than physical structures, buildings, appliances, operational machines, and systems. Homes are composed of families and are inherently complex phenomena underlined by humans and their relationships with each other, subject to individual, intragroup, intergroup, and intercommunity goals. There is a clear need to understand, define, consolidate existing research, and actualize the overarching roles of smart homes, the roles of smart homes that would serve the needs of future smart cities and societies. This paper introduces our data-driven parameter discovery methodology and uses it to provide, for the first time, an extensive, rather fairly comprehensive, analysis of the families and homes landscape seen through the eyes of academics and the public using over a hundred thousand research papers and nearly a million tweets. We develop a methodology using deep learning, natural language processing (NLP), and big data analytics methods and apply it to automatically discover parameters that capture a comprehensive knowledge and design space of smart families and homes comprising social, political, economic, environmental, and other dimensions. The 66 discovered parameters and the knowledge space comprising 100s of dimensions are explained by reviewing and referencing over 300 articles from the academic literature and tweets. The knowledge and parameters discovered in this paper can be used to develop a holistic understanding of matters related to families and homes facilitating the development of better, community-specific, policies, technologies, solutions, and industries for families and homes, leading to strengthening families and homes, and in turn, empowering sustainable societies across the globe.

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A Comparison of Your Better Life Index and Its Antecedents Across Two Chinese Cultures

Cited by 3 publications

References 30 publications

Multimodal Translation Model of Chinese Culture Based on SPSS Cluster Analysis

Multimodal Translation Model of Chinese Culture Based on SPSS Cluster Analysis

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery Using BERT Modelling

Smart Homes and Families to Enable Sustainable Societies: A Data-Driven Approach for Multi-Perspective Parameter Discovery using BERT Modelling

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