{"title":"为ESAP编写自定义语料库和单词列表:以地理学家英语为例","authors":"Andreja Drašler, Monika Kavalir","doi":"10.1016/j.esp.2025.09.004","DOIUrl":null,"url":null,"abstract":"<div><div>The study presents a step-by-step procedure for building a specialised corpus and compiling a technical word list to support instruction in English for Specific Academic Purposes (ESAP). Recognising the lack of suitable textbooks for a highly specialised ESAP course, a custom corpus of 1.4 million words was constructed to support the development of corpus-informed teaching materials for undergraduate geography students. The corpus was compiled from textbook chapters and journal articles that geography professors recommended as directly relevant to students. To ensure representativeness, the corpus was aligned with the first-year BA geography curriculum. A combined approach of keyword analysis and technicality was used to compile a geographical word list according to the following criteria: (1) simple maths keyness score in Sketch Engine, (2) minimum document frequency, (3) technicality (the inclusion of a term in a technical dictionary or its validation by a discipline-specific expert). Keyword analysis has shown that the vast majority (94.24%) of keywords and multi-word items extracted by Sketch Engine are technical and have thus been included in the final word list, which comprises 507 geographical terms relevant to students’ academic needs. More than half of these terms were incorporated into teaching materials, primarily selected based on topic relevance. This study proposes a corpus-informed methodology for designing teaching materials that is straightforward and user-friendly. It offers a practical and methodologically sound framework for ESP practitioners seeking to develop curriculum-aligned, custom corpora and discipline-specific word lists for teaching.</div></div>","PeriodicalId":47809,"journal":{"name":"English for Specific Purposes","volume":"81 ","pages":"Pages 92-102"},"PeriodicalIF":2.7000,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Compiling a custom corpus and word list for ESAP: The case of English for Geographers\",\"authors\":\"Andreja Drašler, Monika Kavalir\",\"doi\":\"10.1016/j.esp.2025.09.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The study presents a step-by-step procedure for building a specialised corpus and compiling a technical word list to support instruction in English for Specific Academic Purposes (ESAP). Recognising the lack of suitable textbooks for a highly specialised ESAP course, a custom corpus of 1.4 million words was constructed to support the development of corpus-informed teaching materials for undergraduate geography students. The corpus was compiled from textbook chapters and journal articles that geography professors recommended as directly relevant to students. To ensure representativeness, the corpus was aligned with the first-year BA geography curriculum. A combined approach of keyword analysis and technicality was used to compile a geographical word list according to the following criteria: (1) simple maths keyness score in Sketch Engine, (2) minimum document frequency, (3) technicality (the inclusion of a term in a technical dictionary or its validation by a discipline-specific expert). Keyword analysis has shown that the vast majority (94.24%) of keywords and multi-word items extracted by Sketch Engine are technical and have thus been included in the final word list, which comprises 507 geographical terms relevant to students’ academic needs. More than half of these terms were incorporated into teaching materials, primarily selected based on topic relevance. This study proposes a corpus-informed methodology for designing teaching materials that is straightforward and user-friendly. It offers a practical and methodologically sound framework for ESP practitioners seeking to develop curriculum-aligned, custom corpora and discipline-specific word lists for teaching.</div></div>\",\"PeriodicalId\":47809,\"journal\":{\"name\":\"English for Specific Purposes\",\"volume\":\"81 \",\"pages\":\"Pages 92-102\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2025-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"English for Specific Purposes\",\"FirstCategoryId\":\"98\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0889490625000511\",\"RegionNum\":1,\"RegionCategory\":\"文学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"LINGUISTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"English for Specific Purposes","FirstCategoryId":"98","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889490625000511","RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LINGUISTICS","Score":null,"Total":0}
Compiling a custom corpus and word list for ESAP: The case of English for Geographers
The study presents a step-by-step procedure for building a specialised corpus and compiling a technical word list to support instruction in English for Specific Academic Purposes (ESAP). Recognising the lack of suitable textbooks for a highly specialised ESAP course, a custom corpus of 1.4 million words was constructed to support the development of corpus-informed teaching materials for undergraduate geography students. The corpus was compiled from textbook chapters and journal articles that geography professors recommended as directly relevant to students. To ensure representativeness, the corpus was aligned with the first-year BA geography curriculum. A combined approach of keyword analysis and technicality was used to compile a geographical word list according to the following criteria: (1) simple maths keyness score in Sketch Engine, (2) minimum document frequency, (3) technicality (the inclusion of a term in a technical dictionary or its validation by a discipline-specific expert). Keyword analysis has shown that the vast majority (94.24%) of keywords and multi-word items extracted by Sketch Engine are technical and have thus been included in the final word list, which comprises 507 geographical terms relevant to students’ academic needs. More than half of these terms were incorporated into teaching materials, primarily selected based on topic relevance. This study proposes a corpus-informed methodology for designing teaching materials that is straightforward and user-friendly. It offers a practical and methodologically sound framework for ESP practitioners seeking to develop curriculum-aligned, custom corpora and discipline-specific word lists for teaching.
期刊介绍:
English For Specific Purposes is an international peer-reviewed journal that welcomes submissions from across the world. Authors are encouraged to submit articles and research/discussion notes on topics relevant to the teaching and learning of discourse for specific communities: academic, occupational, or otherwise specialized. Topics such as the following may be treated from the perspective of English for specific purposes: second language acquisition in specialized contexts, needs assessment, curriculum development and evaluation, materials preparation, discourse analysis, descriptions of specialized varieties of English.