王雅琴 博士，副教授

研究兴趣：

计量语言学、依存语法、语料库语言学

语体研究、计量文体学

联系方式：

电子邮箱：wyq322@126.com; yqinw688@gmail.com

通讯地址：广州市白云大道北2号广东外语外贸大学外国语言学及应用语言学研究中心211（510420）

个人网站: ResearchGate, ORCID

教育经历：

2015.09-2020.03 浙江大学外国语言文化与国际交流学院，外国语言文学专业，博士

2013.09-2015.06 大连海事大学外国语学院，外国语言学及应用语言学专业，硕士

2009.09-2013.06 大连海事大学外国语学院，英语专业，学士

工作经历：

2020.07-今 广东外语外贸大学外国语言学及应用语言学研究中心，云山青年学者

论文著作：

1. Wang, Y., Zhang, Y., Zhang, G., He, S., & Qi, J. (2024). Linguistic Properties of Emojis: A Quantitative Exploration of Emoji Frequency, Category, and Position on Twitter. Journal of Quantitative Linguistics, 1–27. https://doi.org/10.1080/09296174.2024.2347055

2. Wang, Y., & Zeng, T. (2023). Fellow or foe? A quantitative thematic exploration into Putin’s and Trump’s stylometric features. Glottometrics, 54, 39-57. https://doi.org/10.53482/2023_54_406 

3. Niu, R., Wang, Y. & Liu, H. (2023). The Cross-linguistic Variations in Dependency Distance Minimization and its Potential Explanations. PACLIC 2023. Hong Kong, December 2–5, 2023. (Accepted)

4. 王雅琴、刘海涛, (2023). 数据驱动的语体研究进展与前瞻.《现代外语》, 5:700-710.

5. Chen, H., & Wang, Y .* (2023) How does language evolve as a multi-level system? A quantitative exploration of written Chinese. Language Sciences, 98(4), 1-14. https://doi.org/10.1016/j.langsci.2023.101554  

6. Wang, Y. & Chen, H.* (2022). The Menzerath-Altmann Law on the Clause Level in English Texts. Linguistics Vanguard. 8(1), 331-346. http://dx.doi.org/10.1515/lingvan-2022-0048 

7. 王雅琴. (2022). 基于依存距离概率分布的网络与传统语体对比研究. 《词汇与句法计量研究》. 杭州: 浙江大学出版社. 

8. 牛若晨、王雅琴. (2022). 两种依存方向的处理难度是一样的吗？——基于英语树库的计算认知研究. 《词汇与句法计量研究》. 杭州: 浙江大学出版社.

9. Wang, Y., & Liu, H*. (2022). Creativity complicates tweets: a quantitative lens on syntactic characteristics of twitter. Digital Scholarship in the Humanities, 37(1), 264-279. https://doi.org/10.1093/llc/fqab028
   

10. Niu, R., Wang, Y., & Liu, H. (2021). The properties of rare and complex syntactic constructions in English. A corpus-based comparative study. In Proceedings of the Second Workshop on Quantitative Syntax (Quasy, SyntaxFest 2021), pages 74–83, Sofia, Bulgaria. Association for Computational Linguistics.
    

11. Wang, Y.* (2021). Analysis of English text genre classification based on dependency types. In Pawłowski, A., Mačutek, J., Embleton, S., & Mikros, G. (eds). Language and Text: Data, models, information and applications, Amsterdam: John Benjamins, 257-269. http://dx.doi.org/10.1075/cilt.356.17wan 

12. Jiang, Q., & Wang, Y.*(2021). Book Review of Corpus Stylistics: Theory and Practice: Corpus Stylistics: Theory and Practice, by Daniel McIntyre & Brian Walker, Journal of Quantitative Linguistics, https://doi.org/10.1080/09296174.2020.1866806

13. Wang, Y.* (2019). Preface. Glottometrics, 47.

14. 刘海涛*、王雅琴. (2019). 当代小说句式特征的计量研究——《繁花》与其他10部茅盾文学奖作品对比.《山西大学学报（哲学社会科学版）》第6期, 65-72. http://dx.doi.org/10.13451/j.cnki.shanxi.univ(phil.soc.).2019.06.009 

15. Wang, Y*., & Yan, J. (2018). A quantitative analysis on a literary genre essay's syntactic features. In: Jiang, J., & Liu, H. (eds.). Quantitative Analysis of Dependency Structures, Berlin/Boston: De Gruyter, 295-314. http://dx.doi.org/10.1515/9783110573565-015 

16. Wang, Y., & Liu, H.* (2018). Is Trump always rambling like a fourth-grade student? An analysis of stylistic features of Donald Trump’s political discourse during the 2016 election. Discourse & Society, 29(3), 299-323. http://dx.doi.org/10.1177/0957926517734659 

17. Fang, Y., & Wang, Y*. (2018). Quantitative linguistic research of contemporary Chinese. Journal of Quantitative Linguistics, 25(2), 107-121. http://dx.doi.org/10.1080/09296174.2017.1352478 

18. Wang, Y., & Liu, H.* (2018). In remembrance of Fengxiang Fan, 1950–2018. A pioneer of quantitative linguistics in China. Glottometrics, 43, 91-96. 

19. Wang, Y.* (2017). Review of Sequences in Language and Text. Journal of Quantitative Linguistics, 24(2-3), 241-245. http://dx.doi.org/10.1080/09296174.2017.1290405 

20. Wang, Y., & Liu, H.* (2017). The effects of genre on dependency distance and dependency direction. Language Sciences, 59, 135-147. http://dx.doi.org/10.1016/j.langsci.2016.09.006 

21. Wang, Y.* (2017). Dependency distance distribution-from the perspective of genre variation. Comment on “Dependency distance: a new perspective on syntactic patterns in natural languages” by Haitao Liu et al. Physics of Life Reviews, 21, 226-227. http://dx.doi.org/10.1016/j.plrev.2017.06.012 

22. Wang, Y.* (2017). Quantitative genre analysis using linguistic motifs. In: Liu, H., & Liang, J. (eds.). Motifs in Language and Text (Vol. 71), Berlin/Boston: De Gruyter, 165-180. http://dx.doi.org/10.1515/9783110476637-010 

23. Fan, F.*, Yu, Y., & Wang, Y. (2016). The probability distribution of textual vocabulary in the English language. Journal of Quantitative Linguistics, 23(1), 49-70.

24. Fan, F.*, Wang, Y., & Gao, Z. (2014). Some macro quantitative features of low-frequency word classes. Glottometrics, 28, 1-12.

主持项目：

1. 主持广东省哲学社会科学规划项目青年项目“基于依存树库的英语新媒体计量研究” （GD23YWY02），在研，2023-2025

2. 主持教育部人文社会科学研究一般项目青年基金“基于语料库的英汉社交媒体句法计量研究”（21YJC740060），在研，2021-2024

开设课程：

本科生：

《定量研究方法》

《现代语言学研究方法入门》

《语言规律与研究方法趣谈》

《语言研究统计》

会议报告：

1. Just the Way You Are: Investigating the Linguistic Features of Lyrics Genre through Quantitative Lens. International Quantitative Linguistics Conference. University of Lausanne, Lausanne. June 28, 2023. 
   

2. Case study on web genre features based on quantitativelinguistic methods. International Workshop on Corpus Stylistics and Stylometrics. University of Ostrava, Ostrava. June 21, 2023. 

3. A Study on Probability Distributions of Dependency Distances of Web Genres. International Quantitative Linguistics Conference. Online. 2021.09.09-09.11

4. Analysis on English Text Genre Classification Based on Dependency Types. International Quantitative Linguistics Conference. University of Wrocław, Poland. 2018.07.05

5. 文科博士生研究的国际化途径，语言研究的国际化和科学化研讨会，华中科技大学, 武汉，2018.03.17