<b>Lexical Demands and Features of English Textbooks for Vietnamese 10th Graders: An In-depth Comparison of Listening Sections</b>

<b>Research Design</b>In this research, the quantitative method was employed to measure the lexical coverage and lexical richness of the English textbook series. The AntwordProfiler version 2.1.0 (Anthony, 2023) accompanied with BNC/COCA lists created by Nation (2017) was run. Then, it calculated a sort of lexical diversity indices with Tool for the Automatic Analysis of Lexical Diversity (TAALED) (Kyle, Crossley &amp; Jarvis, 2021). The study also employed Jamovi version 2.3.28 to examine whether these textbooks significantly varied through pairwise comparisons.<b>Data Collection</b>In the period of 2022-2023, the MoET released nine new English textbook series for grade 10 students. Unfortunately, <i>Macmillan Move On</i> was excluded from the data source of this study due to its limited popularity. As mentioned earlier, the key data was the listening sections in those English textbooks. The corpus included a total of 54,566 tokens. The size of units and passages were different from each other.<b>Data Preparation</b>The listening transcripts were mostly taken from teacher’s books of these series. Some of them were collected from the subtitles of the audios. Then, a data extraction tool from Microsoft named PowerToys was applied to convert raw texts from the data sources into text files. However, there were some spelling errors due to the unoptimized function of the tool. It could be seen that the characters “m” and “rn” were quite similar, which caused some misinterpretations in the scanning process of the tool. Besides, some uppercase characters such as “I” and “O” were converted as the numbers “1” and “0”. Thus, the researcher retyped the errors manually, removed redundant words, and re-added missing words to the corpus.<b>Data Analysis</b>The AntWordProfiler (Anthony, 2023) was utilised to process all of the text files. The program used the BNC/COCA list (Nation, 2017) to classify words into their frequency levels, count their occurrences, and calculate their sums and percentages. Tokens were arranged in 25 levels and four supplementary lists, moreover, outlying tokens would be put in “Not in the list”. Then, those not-in-the-list words would be returned to their correct positions in the four supplementary lists. The updated data would be processed to report the coverage of each full textbook, and each unit in each textbook was further analysed independently.<i>Research question 2</i> could be answered based on the results of each unit in terms of length, sophistication and diversity. Length was counted by the total tokens of each unit. At the same time, lexical sophistication was calculated according to the sum of word families from the 4,000 to 25,000 levels, and diversity was computed on TAALED using the three lexical diversity indices: MATTR50, HD-D, and MTLD Original. In addition, each textbook was coded according to alphabetic characters, and units in the same textbook series were coded with the same letter. Finally, the data were run by Jamovi to make pairwise comparisons relating to length, sophistication and diversity.

**研究设计**
本研究采用定量研究方法，对英语教材系列的词汇覆盖率与词汇丰富度进行测量。本次研究运行了由Anthony（2023）开发的AntWordProfiler 2.1.0版本工具，并搭配Nation（2017）编制的英国国家语料库（BNC）/美国当代英语语料库（COCA）词表。此外，本研究还借助词汇多样性自动分析工具（Tool for the Automatic Analysis of Lexical Diversity, TAALED，Kyle、Crossley & Jarvis, 2021）计算了一系列词汇多样性指标。同时，本研究使用Jamovi 2.3.28版本进行两两比较分析，以检验各教材间是否存在显著差异。

**数据采集**
2022-2023年间，MoET发布了9套面向高一年级学生的新版英语教材系列。遗憾的是，*Macmillan Move On*因受众范围有限被排除在本研究的数据源之外。如前文所述，本研究的核心数据为上述英语教材的听力板块文本，最终构建的语料库共包含54566个Token，各单元与篇章的长度并不统一。

**数据预处理**
本研究的听力转录文本主要来源于各教材系列的教师用书，部分文本则从音频字幕中提取。随后，我们使用Microsoft开发的数据提取工具PowerToys，将数据源中的原始文本转换为纯文本文件。但受限于该工具的功能优化不足，转换过程中出现了部分拼写错误：例如字符“m”与“rn”外观相近，导致工具在扫描过程中产生了误判；此外，部分大写字符如“I”与“O”被错误转换为数字“1”与“0”。为此，研究人员手动修正了所有错误，删除冗余词汇，并补全了语料库中缺失的词汇。

**数据分析**
本研究使用AntWordProfiler（Anthony, 2023）处理所有文本文件。该工具依托Nation（2017）编制的BNC/COCA词表，将词汇按词频等级分类、统计出现频次，并计算其总词数与占比。Token被划分为25个等级与4个补充词表，此外未列入词表的Token将被归入“未在词表中”类别。随后，研究人员将未列入词表的词汇重新归类至4个补充词表的正确位置。更新后的数据集将用于报告每套完整教材的词汇覆盖率，同时对每套教材中的每个单元进行独立分析。研究问题2可基于各单元在长度、词汇复杂度与多样性维度的分析结果得到解答：长度以每个单元的总Token数进行统计；词汇复杂度根据4000至25000词频等级的词族总数量计算得出；多样性则通过TAALED工具，基于MATTR50、HD-D与MTLD Original三项词汇多样性指标进行计算。此外，本研究按字母顺序对各教材进行编码，同一教材系列的单元使用相同字母编码。最后，研究人员使用Jamovi对数据进行两两比较分析，以检验各单元在长度、复杂度与多样性维度上的差异。

搜集汇总

背景与挑战

背景概述

该数据集为一项针对越南十年级英语教材听力部分的词汇需求与特征比较研究提供支持数据，包含词汇分析、统计测试结果和教材转录文本等文件。研究采用定量方法分析教材的词汇覆盖率、丰富度及多样性，并通过配对比较评估不同教材系列的差异。数据集主要用于教育语言学领域的教材评估和词汇研究。