We closely replicated Nurmukhamedov and Sharakhimov (2021), which was the first study to examine the lexical profile of general-audience English podcasts. Nurmukhamedov and Sharakhimov (2021) found that podcast listeners should have a knowledge of the most frequent 3,000 word families and 5,000 word families, respectively, plus proper nouns, marginal words, transparent compounds, and acronyms in order to achieve good and high-level listening comprehension. We followed the methods and procedures of the initial study with a much larger corpus. Specifically, a total of 8,862 podcast transcripts sampled from 12 general-audience podcast programs were used to compile the 14-million-word corpus. Results of the study confirmed Nurmukhamedov and Sharakhimov's (2021) findings in the vocabulary size required to understand general-audience English podcasts. However, some minor differences pertaining to individual podcast programs were revealed, indicating that the sampling of data had an effect on the lexical demand. These findings provide solid evidence to support the validity and generalizability of the initial study's findings. Implications for second language teaching and learning are also discussed.

中文翻译：

---

检查普通受众英语播客中的词汇概况：Nurmukhamedov 和 Sharakhimov 的紧密复制 （2021）


我们密切复制了 Nurmukhamedov 和 Sharakhimov （2021），这是第一项检查普通受众英语播客词汇概况的研究。Nurmukhamedov 和 Sharakhimov （2021） 发现，播客听众应该分别了解最常见的 3,000 个词族和 5,000 个词族，以及专有名词、边缘词、透明复合词和首字母缩略词，以实现良好和高水平的听力理解。我们遵循了初始研究的方法和程序，使用了一个更大的语料库。具体来说，从 12 个普通观众播客节目中抽样的总共 8,862 份播客转录本被用来编译 1400 万字的语料库。研究结果证实了 Nurmukhamedov 和 Sharakhimov （2021） 在理解普通受众英语播客所需的词汇量方面的发现。然而，揭示了与单个播客节目有关的一些细微差异，表明数据采样对词汇需求有影响。这些发现为支持初步研究结果的有效性和普遍性提供了坚实的证据。还讨论了对第二语言教学和学习的影响。