Green Tourism Corpus Dataset

English for Tourism (EFT) is a specific course designed to teach English to tourism professionals or practitioners. When green or sustainable tourism has recently become prominent, the English for Tourism course should prepare the students to be aware and familiar with the campaign. One possible way is to create teaching materials relevant to the issue. In designing teaching materials, big data or corpus is essential to support the authenticity of the materials. Thus, this study aims at developing lists to create a corpus-informed EFT module to raise awareness of green tourism. The present study utilized a corpus approach to generate a word list and lists of formulaic languages, which will later be used to inform the development of an EFT module. To create the word list, the present study employed some filters, e.g., frequency, range, and lexical profiling, with the assistance of some corpus tools, such as AntConc, LancsBox, and AntWordProfiler. The identification of formulaic languages focused on collocations and 3- and 4-gram lexical bundles; the collocations were measured using the MI Score, and the lexical bundles were identified using frequency and dispersion. The results showed that as many as 299 words were listed in the Green Tourism Word List to teach EFT in response to the environmental issue challenge. Moreover, there are lists of collocations and lexical bundles that are useful for the learners to boost the mastery of vocabulary, especially regarding sustainable tourism.旅游英语（English for Tourism, EFT）是一门专为旅游行业从业者或从业人员打造的专业英语课程。近年来绿色旅游或可持续旅游渐成主流，旅游英语课程需助力学员充分认知并熟悉相关环保旅游理念与推广活动。对此，开发贴合该主题的教学材料不失为可行路径之一。在教学材料的设计环节，大数据或语料库（corpus）对于保障材料的真实性至关重要。有鉴于此，本研究旨在构建各类词汇列表，以开发基于语料库的旅游英语模块，提升学习者对绿色旅游的认知水平。本研究采用语料库方法生成了核心词汇列表与程式化语言列表，后续将用于指导旅游英语模块的开发。在生成核心词汇列表的过程中，本研究借助AntConc、LancsBox、AntWordProfiler等语料库工具，通过词频、分布范围、词汇特征分析等筛选标准完成了词汇筛选。程式化语言的识别聚焦于搭配短语以及三元组、四元组词汇束：搭配短语通过互信息得分（MI Score）进行量化评估，词汇束则通过词频与分布离散度完成识别。研究结果显示，为应对环境议题带来的挑战、适配旅游英语教学需求，绿色旅游核心词汇列表共收录299个词汇。此外，本研究还生成了搭配短语与词汇束列表，可助力学习者提升词汇掌握能力，尤其在可持续旅游相关领域的词汇应用方面效果显著。