Gui Wang
Biographic Data
| ID | 3844316 |
|---|---|
| NAME | Gui Wang |
| GIVEN NAMES | Gui |
| FAMILY NAME | Wang |
| SIGNATURE | WANG G |
| AFFILIATIONS | Zhejiang International Studies University |
| ORCID | 0000-0002-0395-7110 |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 11 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Differentiating translational English from original English using large language models
Translated language often carries subtle linguistic markers that set it apart from text originally written in the target language. This study investigates the potential of powerful AI language models to automatically identify these differences, specifically focusing on distinguishing translated texts from original texts. More specifically, this study utilized transformer-based large language models to differentiate translational English and origi…
Linguistic positivity in American English
This study examines the shifts in linguistic positivity in general American English from the 1820s to the 2000s using a 430-million-token structured historical corpus. Furthermore, we investigate the effects of external environmental and internal psychological factors on linguistic positivity. Results showed a significant decline in both positive and negative expressions, indicating a broader societal move from emotionality to rationality in the …
Exploring the effect of semantic diversity on boundary permeability in verb/noun heterosemy using deep contextualized word embedding
This study investigates the relationship between semantic diversity and boundary permeability in verb/noun heterosemous words in English. Using sense data from the Oxford Dictionaries API and the Corpus of Historical American English enhanced by contextualized word embedding, we quantified semantic diversity using Shannon entropy and measured boundary permeability as the relative proportion of verb/noun uses. Results reveal a significant positive…
Beaveria bassiana (Balsamo) Vuillemin combined with cinnamaldehyde enhances anti-hepatocellular carcinoma effects of T cells by the PGC-1α/DRP1-regulated mitochondrial biogenesis and fission
Exploring the Development of Progressive Construction in Chinese and Japanese EFL Writing
This study investigates the developmental trajectory of progressive construction among Chinese and Japanese EFL learners through a usage‐based approach. A total of 600 written essays, produced by EFL learners from China and Japan with proficiency levels ranging from elementary to upper‐intermediate, were analyzed. The findings reveal that advanced EFL learners, irrespective of their L1 backgrounds, exhibit higher productivity in using progressive…
Translator attribution of Hongloumeng
This study utilized machine learning algorithms and entropy-based features to identify translators of two English translations of Hongloumeng, a great classical Chinese novel written in the mid-18th century. The translations under examination were completed, respectively, by David Hawkes and the Yangs (Yang Hsien-yi and Gladys Yang). Two feature sets were extracted as input for the identification of translator styles: wordform features (wordform …
An exploration of CFL learners’ metaphor use in second language writing
Diachronic changes of number use in written American English from 1923 to 2008
Linguistic complexity in scientific writing
Effects of speaker types and L1 backgrounds on the linguistic complexity of learners’ writing
This study investigated the differences in linguistic complexity between different types of English users, including native speakers (NS), English as a foreign language (EFL) learners, and English as a second language (ESL) learners in terms of Kolmogorov complexity. Furthermore, we explored how first language backgrounds affect linguistic complexity. Our dataset contains 2272 argumentative essays produced by English NSs and upper‐intermediate le…
Croplands conversion to cash crops in dry regions
Understanding the effects of land‐use change in drylands on nutrient use efficiencies and losses within the food production‐consumption system provides insights on nutrient management strategies and the effectiveness of land‐use policies. Weibei Dryland is considered an example to use to evaluate changes in nitrogen (N) flows through the food chain following conversion of croplands to apple orchards, using the Nutrient flows in Food Chains, Envir…
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Croplands conversion to cash crops in dry regions
Understanding the effects of land‐use change in drylands on nutrient use efficiencies and losses within the food production‐consumption system provides insights on nutrient management strategies and the effectiveness of land‐use policies. Weibei Dryland is considered an example to use to evaluate changes in nitrogen (N) flows through the food chain following conversion of croplands to apple orchards, using the Nutrient flows in Food Chains, Envir…
Linguistic complexity in scientific writing
Effects of speaker types and L1 backgrounds on the linguistic complexity of learners’ writing
This study investigated the differences in linguistic complexity between different types of English users, including native speakers (NS), English as a foreign language (EFL) learners, and English as a second language (ESL) learners in terms of Kolmogorov complexity. Furthermore, we explored how first language backgrounds affect linguistic complexity. Our dataset contains 2272 argumentative essays produced by English NSs and upper‐intermediate le…
An exploration of CFL learners’ metaphor use in second language writing
Diachronic changes of number use in written American English from 1923 to 2008
Linguistic positivity in American English
This study examines the shifts in linguistic positivity in general American English from the 1820s to the 2000s using a 430-million-token structured historical corpus. Furthermore, we investigate the effects of external environmental and internal psychological factors on linguistic positivity. Results showed a significant decline in both positive and negative expressions, indicating a broader societal move from emotionality to rationality in the …
Exploring the effect of semantic diversity on boundary permeability in verb/noun heterosemy using deep contextualized word embedding
This study investigates the relationship between semantic diversity and boundary permeability in verb/noun heterosemous words in English. Using sense data from the Oxford Dictionaries API and the Corpus of Historical American English enhanced by contextualized word embedding, we quantified semantic diversity using Shannon entropy and measured boundary permeability as the relative proportion of verb/noun uses. Results reveal a significant positive…
Beaveria bassiana (Balsamo) Vuillemin combined with cinnamaldehyde enhances anti-hepatocellular carcinoma effects of T cells by the PGC-1α/DRP1-regulated mitochondrial biogenesis and fission
Exploring the Development of Progressive Construction in Chinese and Japanese EFL Writing
This study investigates the developmental trajectory of progressive construction among Chinese and Japanese EFL learners through a usage‐based approach. A total of 600 written essays, produced by EFL learners from China and Japan with proficiency levels ranging from elementary to upper‐intermediate, were analyzed. The findings reveal that advanced EFL learners, irrespective of their L1 backgrounds, exhibit higher productivity in using progressive…
Translator attribution of Hongloumeng
This study utilized machine learning algorithms and entropy-based features to identify translators of two English translations of Hongloumeng, a great classical Chinese novel written in the mid-18th century. The translations under examination were completed, respectively, by David Hawkes and the Yangs (Yang Hsien-yi and Gladys Yang). Two feature sets were extracted as input for the identification of translator styles: wordform features (wordform …
Differentiating translational English from original English using large language models
Translated language often carries subtle linguistic markers that set it apart from text originally written in the target language. This study investigates the potential of powerful AI language models to automatically identify these differences, specifically focusing on distinguishing translated texts from original texts. More specifically, this study utilized transformer-based large language models to differentiate translational English and origi…
Linguistics (5 works) · Philosophy (5 works) · Computer Science (4 works) · Psychology (4 works) · Natural Language Processing Techniques (3 works) · Second Language Acquisition and Learning (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence (2 works) · Biology (2 works) · Discourse Analysis in Language Studies (2 works)