Abstract
“Chinese + Tourism” is an important subfield of the current research area of “Chinese +” vocational education. This article focuses on the vocational skills training of “Chinese + Tourism”, targeting both domestic and foreign tourism practitioners. To accomplish this goal, a Chinese tourism corpus was constructed, and a series of methods including text classification, relevant word frequency theory, vocabulary distribution range, and term frequency-inverse document frequency were employed to design a technical word list construction process. Through human intervention, a sequenced Chinese Tourism Technical Word List (CTTWL) containing 542 words has been developed. This word list is mainly composed of nouns, verbs, and adjectives, with a coverage rate of 11.05% in domain texts. Compared to the HSK (Tourism), although its text coverage rate is 16.59%, it includes 4,674 vocabulary words. In addition, the coverage rate of CTTWL in general texts is less than 1%, indicating that the word list developed in this article covers most professional vocabulary in the text with fewer words. CTTWL can provide vocabulary references for Chinese tour guide training, and tourism Chinese skills teaching and learning.
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Notes
- 1.
The information is sourced from the official website of Center for Language Education and Cooperation: http://www.chinese.cn/page/#/pcpage/article?id=499.
- 2.
The information is sourced from the official website of the World Tourism Alliance: https://www.wta-web.org/chn.
- 3.
"Public Tourism Service Section" platform of the Ministry of Culture and Tourism of the People's Republic of China: https://lyfw.mct.gov.cn/site/special/home.
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This article is supported by the Key Project of the National Social Science Foundation of China (18ZDA295), the Research Project of the National Language Commission (ZDI135-139).
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Xu, Y., Wei, W., Wang, Z. (2024). Development of a Chinese Tourism Technical Word List Based on Corpus Analysis. In: Dong, M., Hong, JF., Lin, J., Jin, P. (eds) Chinese Lexical Semantics. CLSW 2023. Lecture Notes in Computer Science(), vol 14515. Springer, Singapore. https://doi.org/10.1007/978-981-97-0586-3_31
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