ภาษาศาสตร์ภาษาอังกฤษ
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Browsing ภาษาศาสตร์ภาษาอังกฤษ by browse.metadata.researchtheme2 "คำศัพท์ (Vocabulary)"
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- PublicationA Corpus-based Study of the Vocabulary Profile of High School English Textbooks in ChinaYu, Min; Renandya, Willy A. (Language Institute, Thammasat University, 2021)The study investigates the vocabulary profile of a set of English textbooks New Senior English for China, which is widely used for senior secondary education in China. It examines how the words required by the 2017 National English Curriculum Standard for General Senior Secondary Education in China are covered, repeated and distributed in the textbooks. The results show that the textbooks cover only about 80% of the lemmas required by the 2017 English Curriculum Standard. Among the lemmas covered in the textbooks, half of them are repeated less than five times in the textbooks. Most of the lemmas which recur more than five times in the textbooks have dispersion values above 0.5. Lemmas with dispersion values below 0.1 are mainly composed of theme-based words. Although the study indicates that some words are distributed favorably, the textbooks fail to provide sufficient coverage and repetition of the words required by the 2017 English Curriculum Standard. Therefore, extra exposure and repetition of these words are required for optimal learning.
- PublicationApplying Lexical Profiling to Construct Technical Word Lists for Thai Tourist GuidesLaosrirattanachai, Piyanuch; Laosrirattanachai, Piyapong (Research Department, Chulalongkorn University Language Institute, 2021)When learning high- and mid-frequency words, approximately 5,000 words might be inadequate for learners to survive in a career as a tourist guide. This paper aims to construct technical word lists for Thai tourist guides to serve as supplementary learning materials. Different word lists need different criteria for their construction. Three main methods are used to construct word lists: lexical profiling, eliminating off-list words, and expert verification. The self-compiled corpus comprising 653,196 tokens gathered from www.tourismthailand.org is used to construct six subword lists including the technical word list for Thai tourist guides containing 391 words and the technical word lists for northern, central, eastern, northeastern, and southern Thai tourist guides composing of 245, 264, 138, 187, and 176 words, respectively. The authors suggest using the word lists after mastering 2,000 high-frequency words, 570 academic words, and 378 tourism business words to prepare learners for their future career paths.
- PublicationCorpus-based Creation of Tourism, Hotel, and Airline Business Word ListsLaosrirattanachai, Piyapong; Ruangjaroon, Sugunya (Language Institute, Thammasat University, 2021)A lack of technical vocabulary is a major problem for English for Specific Purposes (ESP) learners in a foreign setting. In this paper, we argue for using word lists to help learners expand their technical lexis repertoire. Therefore, we propose English word lists in three disciplines constructed from compiled corpora—the Tourism Business Word List (TBWL), the Hotel Business Word List (HBWL), and the Airline Business Word List (ABWL). The three word lists were derived from the vocabulary and technical terms appearing in the Tourism Business Corpus (TBC), the Hotel Business Corpus (HBC), and the Airline Business Corpus (ABC), which comprise language used in hospitality official websites, magazines, news, and work operation manuals. The corpora for ESP learners were carefully filtered through Filter Lexical Frequency, Filter Lexical Range, Filter Lexical Profiling, Filter Lexical Keyness, and via input and feedback from specialists and experts. Ultimately, the TBWL, HBWL, and ABWL were narrowed down to 378, 274, and 245 words, respectively, each of which was categorised into 13, 9, and 8 sub-word lists, respectively. The findings also revealed that the TBWL covered 7.76% of the TBC, the HBWL covered 7.67% of the HBC, and the ABWL covered 6.74% of the ABC.
- PublicationKey Defining Linguistic Features in the Writing Performance of First-Year University Students Across Different Language Proficiency LevelsCharnchairerk, Chalatip (Language Institute, Thammasat University, 2022)This study sought to investigate the key determining characteristics in the writing performance of first-year Chulalongkorn University students across language proficiency levels as measured by CU-TEP. The focus was on both syntactic and lexical complexity components. The sample comprised the writings from a corpus of 4,812 first-year students divided into four CEFR levels (C1, B2, B1, and A2), using CU-TEP and corresponding CEFR levels as the strata. The sample size of all four groups was identical comprising 50 students each, totaling 200 students. Multiple computational tools were utilized for data analysis. The findings revealed that the distinctive features typifying the most proficient writers include the production of longer as well as more clausally and phrasally complex sentences. They also demonstrated high lexical richness through the use of wide-ranging vocabulary and rare or sophisticated academic words. These features were also discovered in other less proficient groups but to a lesser extent at decreasing proficiency levels. It was also found that the syntactic complexity measures that better differentiated proficiency levels were: mean length of sentence, mean length of T-unit, and mean length of clause while all three lexical complexity indices were proven to be good predictors of L2 writing quality.