Achievements
o Bai, X. (2023). Describing the grammatical knowledge of Chinese words for natural language processing. In C.-R. Huang, S.-K. Hsieh, & P. Jin (Eds.), Chinese language resources: Data collection, linguistic analysis, annotation and language processing. Spinger Nature.
o Zhao, K., & Bai, X. (2023). Linguistic, cognitive, social, and educational perspectives on English academic literacy development in the Asia-Pacific. In: W.O. Lee, P. Brown, A.L. Goodwin, & A. Green (Eds) International Handbook on Education Development in Asia-Pacific. Springer, Singapore. https://doi.org/10.1007/978-981-16-2327-1_138-1
o Bai, X., & Yu, S. (2023). Rule-based machine translation. In S.-W. Chan (Ed.), Routledge encyclopedia of translation technology (2nd ed.). London and New York: Routledge.
o Zhan, W., & Bai, X. (2022). Parts of speech in Chinese and how to identify them. In C.-R. Huang, Y.-H. Lin, I.-H. Chen, & Y.-Y. Hsu (Eds.), The Cambridge handbook of Chinese linguistics. Cambridge: Cambridge University Press.
o Duan, X., Zan, H., Bai, X., & Zähner, C. (2020). Reusable phrase extraction based on syntactic parsing. In M. Sun, S. Li, Y. Zhang, Y. Liu, S. He, & G. Rao (Eds.), Chinese computational linguistics. Springer International Publishing.
o Zhan, W., & Bai, X. (2019). Online language resources: Advances, applications, and challenges. In C.-R. Huang, Z. Jing-Schmidt, & B. Meisterernst (Eds.), Routledge handbook of Chinese applied linguistics. London and New York: Routledge.
o Zhan, W., & Bai, X. (2016). Sentence types. In C.-R. Huang & D. Shi (Eds.), A reference grammar of Chinese. Cambridge: Cambridge University Press.
o Yu, S., & Bai, X. (2015). Rule-based machine translation. In S.-W. Chan (Ed.), The Routledge encyclopedia of translation technology. London and New York: Routledge.
o Bai, X., Zähner, C., Zan, H., & Yu, S. (2014). The Chinese-English contrastive language knowledge base and its applications. In M. Sun, Y. Liu & J. Zhao (Eds.), Chinese computational linguistics and natural language processing based on naturally annotated big data. Springer International Publishing.