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[Theories]2026年上半年专委会成员发表语料库相关科研成果

发布时间:2026-05-10 浏览量:

2026年上半年专委会成员发表语料库语言学相关科研成果(按第一作者姓氏音序排列。仅列正式归入刊期的成果。本页面将持续更新)。

语料库语言学相关论著

  1. Qin, Hongwu, & Kong, Lei. (2026). A multiple-corpora approach to Chinese-English contrastive analysis. Routledge.

  2. 许家金,2026,《语料库语言学史》。北京:外研社。

语料库语言学相关论文

  1. 雷蕾、韦瑶瑜,2026,基于语言复杂度权衡假说的古代汉语词汇历时演变研究,《日语学习与研究》(2):105-115。

  2. 娄宝翠、葛睿涵,2026China Daily活态遗产宣传短视频的意义建构研究——基于ELAN的视觉语法分析,《外语研究》(1):39-50

  3. 钱一华、熊文新,2026,汉语学习者“把”字句、动宾句选用地道性的多因素研究,《语言教学与研究》(2):37-47。

  4. 孙海燕、马金辉,2026,基于语义向量空间模型的语义空间演变历时研究——以“V the crap out of NP”构式为例,《河南师范大学学报(自然科学版)》1-8。

  5. 卫乃兴,2026,当代语言学关键词·意义单位,《外语研究》(2):1-7

  6. 许家金,2026,立足学科史的共选论探索,《外语教育研究前沿》(1):17-20。

  7. 张丹丹、刘泽权,2026,霍克思《红楼梦》人名英译体系化过程与创新,《外语教学》(1):90-96。

  8. 甄凤超、王笑盈,2026,商务通用语会话修正的局部语法,《日语学习与研究》(2):13-25

  9. 周顾盈、许家金,2026,数智驱动言语行为研究前沿趋势:从语料库检索到大模型微调,《外语教学理论与实践》(2):15-24。

  10. 邹更新、黄立波,2026,《红楼梦》两个英译本在英语世界可接受度的实证考察——基于译本可读性和读者反馈分析的维度,《外语学刊》(2):39-49。

  11. Chen, Yagang & Xu, Jiajin*. (2026). Exploring interdisciplinary boundaries: A BERTopic modeling approach to analyze four interdisciplinary fields at the abstract and sentence levels. English for Specific Purposes, 81, 56-72.

  12. Guo, Siwen & Liang, Maocheng*. (2026). Lexico-syntactic features of science and science popularization texts: An information-theoretic view. Text & Talk, 46(1), 27-52.

  13. Hu, Yiyang, Liu, Kanglong* & Lei, Lei. (2026). Quantifying syntagmatic patterning in translated and native Chinese: An R-motif approach based on POS sequences. Journal of Quantitative Linguistics, 1-25.

  14. Huang, Ding & Xu, Jiajin*. (2026). Extending local grammar to multimodal meaning-making: A case study on conflict resolution in picture books. Text & Talk, 46(2), 167-197.

  15. Li, Weijing & Xu, Jiajin*. (2026). Continuation or complementarity? A multifactorial analysis of the functional motivation underlying discourse marker combination in L2 spoken English. Corpus Pragmatics, 10(4), 1-27.

  16. Lin, Miaoru & Liu, Dingjia*. (2026). Intersubjectivity as the distinguishing feature or common ground: A contrastive study between human-written abstracts and LLM-generated abstracts. Research Methods in Applied Linguistics, 5(1), Article 100297.

  17. Liu, Luda & Jiang, Feng*. (2026). Evolving themes and trends in business English research: A bibliometric analysis (1990–2024). Journal of English for Academic Purposes, 81, Article 101682.

  18. Song, Yiming & Wang, Deliang*. 2026. BERT-assisted behavioral profiling of polysemy: Contrastive analysis of HONG in Chinese and RED in English. Corpus Linguistics and Linguistic Theory, 22(2), 255-291.

  19. Song, Yingming & Xu, Jiajin*. (2026). Comparing implicit and explicit apologies in spoken English: A local grammar approach. Journal of Pragmatics, 256, 1-16.

  20. Wang, Gui, Yu, Mengyang & Shao, Bin*. (2026). Efficient communication in word formation: How syntactic and lexical surprisal jointly shape English conversion over the past century. Cognitive Science, 50(1), e70202.

  21. Xu, Jiajin. (2026). General reference corpus. In H. Nesi, & P. Milin (Eds.), International Encyclopedia of Language and Linguistics (3rd ed.). Elsevier Ltd.

  22. Zhao, Ning & Lei, Lei*. (2026). Informality features in AI-generated academic writing: A corpus-based comparison between human and AI. Journal of English for Academic Purposes, 79, 101629.