Is ‘NBA’ Chinese or English?

Xu, Mingwu; Tian, Chuanmao

doi:10.1017/s0266078417000232

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…In this study, the performance statistics and economic indicators used to estimate team values were chosen according to literature. Papers included population [ 8 , 9 ], GDP [ 10 , 11 ], total assists [ 12 , 13 ], revenue [ 14 ], allstar [ 15 ], winning percentage [ 16 ], championship [ 17 ], total points [ 18 ], total turnover [ 19 ], home attendance [ 20 ], key player [ 1 , 21 ], team value [ 1 , 2 ] in their statistical analysis. Therefore, we considered the variables that can potentially affect the team values by evaluating the literature.…”

Section: Introductionmentioning

confidence: 99%

Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models

Ulaş

2021

PLoS ONE

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In the last decade, NBA has grown into a billion-dollar industry where technology and advanced game plans play an essential role. Investors are interested in research examining the factors that can affect the team value. The aim of this research is to investigate the factors that affect the NBA team values. The value of a team can be influenced not only by performance-based variables, but also by macroeconomic indicators and demographic statistics. Data, analyzed in this study, contains of game statistics, economic variables and demographic statistics of the 30 teams in the NBA for the 2013–2020 seasons. Firstly, Pearson correlation test was implemented in order to identify the related variables. NBA teams’ characteristics and similarities were assessed with Machine Learning techniques (K-means and Hierarchical clustering). Secondly, Ordinary linear regression (OLS), fixed effect and random effect models were implemented in the statistical analyses. The models were compared based on Akaike Information Criterion (AIC). Fixed effect model with one lag was found the most effective model and our model produced consistently good results with the R2 statistics of 0.974. In the final model, we found that the significant determinants of team value at the NBA team level are revenue, GDP, championship, population and key player. In contrast, the total number of turnovers has a negative impact on team value. These findings would be beneficial to coaches and managers to improve their strategies to increase their teams’ value.

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Section: Introductionmentioning

confidence: 99%

Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models

Ulaş

2021

PLoS ONE

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“…They are frequently and widely used by Chinese netizens:打 call is the top one annual Chinese internet neologism in 2017, hold 住 is the top one annual Chinese internet neologism in 2011, and word 哥 is the ninth top annual Chinese internet neologism in 2016, according to the report from official weibo i of the journal yaowen jiaozi. Through the lens of internet neologisms we can observe the behaviour of netizens, the thought change of the netizens, the internet culture change and even the Zeitgeist of an era so that the internet neologisms have attracted the eyes of the scholars (Roigmarí n, 2016;Zhou & Shu, 2017;Zhang, 2017;Xu & Tian, 2017).…”

Section: Introductionmentioning

confidence: 99%

Emerging Chinese-English Hybridized Internet Neologisms: a Big Data Study Based on Baidu Index

Li¹

2020

IJECS

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This article studies the emerging neologisms in the Chinese cyber context: 打call, hold住, word哥, which are termed Chinese-English hybridized internet neologisms (CEHINs). CEHINs share the features of Chinese words and English words. Based on the research tool called Baidu Index, it is found: (1) the structure and pronunciation of CEHINs (打call, hold住, word哥) is different from the ‘pure’ Chinese or English internet neologisms; (2) the diffusion of them is Chinese netizen-driven, not the meme-driven; (3) the top users of them are usually aged between 30-39, while the ‘pure’ Chinese internet neologisms are much more frequently used by netizens aged 20-29; and (4) the popularization of internet, fast cultural communications in cyber times, and the further pervasiveness of English as a Lingua Franca in China are the reasons for the emergence and popularity of them in China.

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“…Although English loanwords in Chinese have received much attention, especially among Chinese scholars (e.g. Zhou & Jiang, 2004; Xu & Tian, 2017), the contribution of Chinese to English vocabulary yields fewer studies. Up to now, most studies about Chinese borrowings relied on different kinds of dictionaries, rather than journals or newspapers.…”

Section: Introductionmentioning

confidence: 99%

Early Mandarin loanwords in contemporary English

Wu¹

2019

English Today

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English vocabulary has expanded over centuries by ‘borrowing’ lexical items from other languages (Katamba, 2005; Durkin, 2014). Compared with European languages, non-European languages are never major sources of word borrowing in English, with Chinese staying even more peripheral. Scholars have recorded no more than a few hundred English words of Chinese origin. This, however, does not make it easier to study the etymology and semantics of Chinese loanwords. The complication arises from the various source dialects from which Chinese words were borrowed (Mandarin, Cantonese, Amoy, Hokkien, etc.) and also from transcription processes, in which Chinese logograms are ‘romanised’ into phonetic representations so as to be readable for English speakers. It is a procedure easily affected by the transcribers' own cognition and the transcription systems employed, and the arbitrariness of the above variables contributes much to the fact that the orthography of Chinese loanwords, especially those entering the English language early, are prone to changes. This article aims to shed some light on how the ways of transcription may affect the spelling of Chinese loanwords.

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Is ‘NBA’ Chinese or English?

Cited by 5 publications

References 4 publications

Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models

Examination of National Basketball Association (NBA) team values based on dynamic linear mixed models

Emerging Chinese-English Hybridized Internet Neologisms: a Big Data Study Based on Baidu Index

Early Mandarin loanwords in contemporary English

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