Search Results - "Lv, Qianxi"

Dependency Distance Differences across Interpreting Types: Implications for Cognitive Demand by Liang, Junying, Fang, Yuanyuan, Lv, Qianxi, Liu, Haitao

“…Interpreting is generally recognized as a particularly demanding language processing task for the cognitive system. Dependency distance, the linear distance…”
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Predicting Fluency With Language Proficiency, Working Memory, and Directionality in Simultaneous Interpreting by Lin, Yumeng, Lv, Qianxi, Liang, Junying

“…Simultaneous interpreting (SI) is a complex bilingual verbal activity that poses great challenges for working memory (WM) and language proficiency. Fluency is…”
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Quantifying Interpreting Types: Language Sequence Mirrors Cognitive Load Minimization in Interpreting Tasks by Liang, Junying, Lv, Qianxi, Liu, Yiguang

“…Most interpreting theories claim that different interpreting types should involve varied processing mechanisms and procedures. However, few studies have…”
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Is consecutive interpreting easier than simultaneous interpreting? - a corpus-based study of lexical simplification in interpretation by Lv, Qianxi, Liang, Junying

“…Lexical simplification parameters, labeled as representative of the cognitive load in various processes, have been applied in corpus-based studies on…”
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Boosting hydrogen evolution of nickel phosphide by expanding built-in electric field with tungsten oxide by Zhang, Xinyu, Dong, Yiwen, Lv, Qianxi, wang, Fuli, Jiang, Chi, Wang, Yingli, Dou, Jie, Guo, Qiyao, Dong, Bin, Tang, Qunwei

“…Manipulating the built-in electric field (BIEF) in the catalyst to regulate the electronic structure and improve the carrier transport is a promising approach,…”
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A corpus-based analysis of the effect of syntactic complexity on disfluency in consecutive interpreting by Shen, Mingxia, Lin, Yumeng, Lv, Qianxi, Liang, Junying

“…•Input syntactic complexity can predict interpreting disfluency.•Output syntactic complexity can also be a predictor of interpreting disfluency.•The…”
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Interpreting as a mirror for language foundations: Comment on “Rethinking foundations of language from a multidisciplinary perspective” by T. Gong et al by Liang, Junying, Lv, Qianxi, Liu, Yiguang

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Interpreting as a mirror for language foundations by Liang, Junying, Lv, Qianxi, Liu, Yiguang

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Syntactic priming in illiterate and literate older Chinese adults by Hu, Yuechan, Lv, Qianxi, Pascual, Esther, Liang, Junying, Huettig, Falk

“…Does life-long literacy experience modulate syntactic priming in spoken language processing? Such a postulated influence is compatible with usage-based…”
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Convergences and Divergences between Automatic Assessment and Human Evaluation: Insights from Comparing ChatGPT-Generated Translation and Neural Machine Translation by Jiang, Zhaokun, Lv, Qianxi, Zhang, Ziyin, Lei, Lei

“…Large language models have demonstrated parallel and even superior translation performance compared to neural machine translation (NMT) systems. However,…”
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Distinguishing Translations by Human, NMT, and ChatGPT: A Linguistic and Statistical Approach by Jiang, Zhaokun, Lv, Qianxi, Zhang, Ziyin, Lei, Lei

“…The growing popularity of neural machine translation (NMT) and LLMs represented by ChatGPT underscores the need for a deeper understanding of their distinct…”
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