Lexical Input Used for English for Tourism Coursebooks at Tertiary Level: A Corpus-Based Approach

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Title: Lexical Input Used for English for Tourism Coursebooks at Tertiary Level: A Corpus-Based Approach
Language: English
Authors: Anchalee Veerachaisantikul, Wara Chansin, Kamontip Nuamkoksoong
Source: Indonesian Journal of English Language Teaching and Applied Linguistics. 2025 10(2):359-374.
Availability: Indonesian Journal of English Language Teaching and Applied Linguistics. English Department, Faculty of Education and Teacher Training, State Islamic Institute of Samarinda, Indonesia. e-mail: ijeltalj@gmail.com; Web site: https://ijeltal.org/index.php/ijeltal
Peer Reviewed: Y
Page Count: 16
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Education Level: Postsecondary Education
Descriptors: Lexicology, Linguistic Input, English for Special Purposes, Tourism, Textbooks, Postsecondary Education, Word Lists, Word Frequency, Language Usage, Vocabulary, Second Language Instruction, Curriculum Development, Textbook Selection, Textbook Evaluation, Nouns
ISSN: 2527-6492
2527-8746
Abstract: Effective English for Specific Purposes (ESP) training depends on coursebooks for relevant and genuine vocabulary. Corpus-based analysis is a reliable empirical technique for lexical evaluation in ESP coursebook assessment, as shown in this research. Thus, this quantitative corpus-based research focused on (1) the most common general English lexical items and (2) domain-specific vocabulary in tertiary English for Tourism coursebooks. The study was a quantitative corpus-based one that included 3,423,973 words from all primary reading materials, dialogues, and exercises in the 2020-2022 English for Tourism coursebooks. Using corpus linguistics methods, WordSmith Tools discovered and evaluated lexical frequency lists and domain-specific keywords. This study found that, although generic high-frequency terms are important, tourism-related language dominates the materials' specialized vocabulary. Generally, high-frequency lexical terms, essential for language development, were detected. The most common domain-specific vocabulary, mostly nouns, was tourism terminology, including "guest," "hotel," "room," "travel," and "tourism." This study provided actual lexical data to help curriculum developers and teachers plan, choose, and adjust tourist education resources. This aligns with real-world language needs and improves ESP instruction.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1482453
Database: ERIC
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  Data: Lexical Input Used for English for Tourism Coursebooks at Tertiary Level: A Corpus-Based Approach
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  Data: <searchLink fieldCode="AR" term="%22Anchalee+Veerachaisantikul%22">Anchalee Veerachaisantikul</searchLink><br /><searchLink fieldCode="AR" term="%22Wara+Chansin%22">Wara Chansin</searchLink><br /><searchLink fieldCode="AR" term="%22Kamontip+Nuamkoksoong%22">Kamontip Nuamkoksoong</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Indonesian+Journal+of+English+Language+Teaching+and+Applied+Linguistics%22"><i>Indonesian Journal of English Language Teaching and Applied Linguistics</i></searchLink>. 2025 10(2):359-374.
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  Data: Indonesian Journal of English Language Teaching and Applied Linguistics. English Department, Faculty of Education and Teacher Training, State Islamic Institute of Samarinda, Indonesia. e-mail: ijeltalj@gmail.com; Web site: https://ijeltal.org/index.php/ijeltal
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  Data: 16
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  Data: 2527-6492<br />2527-8746
– Name: Abstract
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  Data: Effective English for Specific Purposes (ESP) training depends on coursebooks for relevant and genuine vocabulary. Corpus-based analysis is a reliable empirical technique for lexical evaluation in ESP coursebook assessment, as shown in this research. Thus, this quantitative corpus-based research focused on (1) the most common general English lexical items and (2) domain-specific vocabulary in tertiary English for Tourism coursebooks. The study was a quantitative corpus-based one that included 3,423,973 words from all primary reading materials, dialogues, and exercises in the 2020-2022 English for Tourism coursebooks. Using corpus linguistics methods, WordSmith Tools discovered and evaluated lexical frequency lists and domain-specific keywords. This study found that, although generic high-frequency terms are important, tourism-related language dominates the materials' specialized vocabulary. Generally, high-frequency lexical terms, essential for language development, were detected. The most common domain-specific vocabulary, mostly nouns, was tourism terminology, including "guest," "hotel," "room," "travel," and "tourism." This study provided actual lexical data to help curriculum developers and teachers plan, choose, and adjust tourist education resources. This aligns with real-world language needs and improves ESP instruction.
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  Data: 2025
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RecordInfo BibRecord:
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    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 16
        StartPage: 359
    Subjects:
      – SubjectFull: Lexicology
        Type: general
      – SubjectFull: Linguistic Input
        Type: general
      – SubjectFull: English for Special Purposes
        Type: general
      – SubjectFull: Tourism
        Type: general
      – SubjectFull: Textbooks
        Type: general
      – SubjectFull: Postsecondary Education
        Type: general
      – SubjectFull: Word Lists
        Type: general
      – SubjectFull: Word Frequency
        Type: general
      – SubjectFull: Language Usage
        Type: general
      – SubjectFull: Vocabulary
        Type: general
      – SubjectFull: Second Language Instruction
        Type: general
      – SubjectFull: Curriculum Development
        Type: general
      – SubjectFull: Textbook Selection
        Type: general
      – SubjectFull: Textbook Evaluation
        Type: general
      – SubjectFull: Nouns
        Type: general
    Titles:
      – TitleFull: Lexical Input Used for English for Tourism Coursebooks at Tertiary Level: A Corpus-Based Approach
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            NameFull: Anchalee Veerachaisantikul
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            NameFull: Wara Chansin
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            NameFull: Kamontip Nuamkoksoong
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              Y: 2025
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