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Chuqiao Liang

Biographic Data

ID8582455
NAMEChuqiao Liang
GIVEN NAMESChuqiao
FAMILY NAMELiang
SIGNATURELIANG C
AFFILIATIONSBeijing Normal University
ORCID0009-0008-2455-7010
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Error analysis of large language model-generated film subtitles using the FAR model

    Open Access•Chuqiao Liang, Liang Chuqiao et al.•ARTICLE•Cogent Arts and Humanities•2026

    Subtitling has long constrained the global reach of Chinese cinema. This study examines the potential of an open-source large language model (LLM) (in enhancing Chinese-to-English subtitle translation by conducting a comprehensive FAR-model-based error analysis on DeepSeek-V3-generated subtitles, focusing on error distribution and underlying linguistic and technical challenges. Using 2028 utterances from the Chinese film YOLO, two expert annotato…

  • Post-editing challenges in Chinese-to-English neural machine translation of movie subtitles

    Open Access•Chuqiao Liang, Mozhgan Ghassemiazghandi et al.•ARTICLE•Social Sciences & Humanities Open•2024

    Subtitle translation has been a longstanding factor hindering the overseas development of Chinese movies. The potential of using Neural Machine Translation (NMT) as an innovative solution has yet to be studied. This case study aims to integrate Google Neural Machine Translation (GNMT) into the Chinese-into-English subtitle translation of Chinese movies. The research identifies errors in GNMT-generated subtitles per Pedersen's FAR model and develo…

  • Association of Gratitude With Individual and Organizational Outcomes Among Volunteers

    Open Access•Hongcui Yang, Chuqiao Liang et al.•ARTICLE•SAGE Open•2023

    By applying the broaden-and-build theory of positive emotions to the context of volunteering, we investigated how gratitude is associated with individual (subjective well-being) and organizational (volunteer retention) outcomes through the positive thought–action repertoires of prosocial motivation and volunteer engagement. The data of 924 Chinese volunteers (mean age = 35.7 ± 9.1 years, 26.2% males) from voluntary organizations were collected th…

No prominent works on this page.

  • Association of Gratitude With Individual and Organizational Outcomes Among Volunteers

    Open Access•Hongcui Yang, Chuqiao Liang et al.•ARTICLE•SAGE Open•2023

    By applying the broaden-and-build theory of positive emotions to the context of volunteering, we investigated how gratitude is associated with individual (subjective well-being) and organizational (volunteer retention) outcomes through the positive thought–action repertoires of prosocial motivation and volunteer engagement. The data of 924 Chinese volunteers (mean age = 35.7 ± 9.1 years, 26.2% males) from voluntary organizations were collected th…

  • Post-editing challenges in Chinese-to-English neural machine translation of movie subtitles

    Open Access•Chuqiao Liang, Mozhgan Ghassemiazghandi et al.•ARTICLE•Social Sciences & Humanities Open•2024

    Subtitle translation has been a longstanding factor hindering the overseas development of Chinese movies. The potential of using Neural Machine Translation (NMT) as an innovative solution has yet to be studied. This case study aims to integrate Google Neural Machine Translation (GNMT) into the Chinese-into-English subtitle translation of Chinese movies. The research identifies errors in GNMT-generated subtitles per Pedersen's FAR model and develo…

  • Error analysis of large language model-generated film subtitles using the FAR model

    Open Access•Chuqiao Liang, Liang Chuqiao et al.•ARTICLE•Cogent Arts and Humanities•2026

    Subtitling has long constrained the global reach of Chinese cinema. This study examines the potential of an open-source large language model (LLM) (in enhancing Chinese-to-English subtitle translation by conducting a comprehensive FAR-model-based error analysis on DeepSeek-V3-generated subtitles, focusing on error distribution and underlying linguistic and technical challenges. Using 2028 utterances from the Chinese film YOLO, two expert annotato…

Subtitles and Audiovisual Media (2 works) · Artificial Intelligence (1 work) · Chemistry (1 work) · Computer Science (1 work) · COVID-19 and Mental Health (1 work) · Error Analysis (1 work) · Gratitude (1 work) · Job Satisfaction and Organizational Behavior (1 work) · Language model (1 work) · Machine translation (1 work)

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