{"title":"科学播客的词汇概况、词汇密度和语速:它们对 EAP 和 ESP 听力有多大帮助?","authors":"Milica Vuković-Stamatović, D. Carapic","doi":"10.17398/2340-2784.47.201","DOIUrl":null,"url":null,"abstract":"One potential source of authentic input for English for Academic Purposes (EAP) and English for Science and Technology (EST) listening could be science podcasts. In this study, we examine the vocabulary level of this genre, as well as the amount of the common specialized, i.e. academic and scientific vocabulary it contains. Additionally, we study its lexical density and speech rate. These properties are examined on a corpus of 126 science podcasts produced by the journal Nature, the American Association for the Advancement of Science (AAAS) and the magazine Scientific American. These are compared against those determined for a corpus of lectures in general (the MICASE lectures) and a corpus of science lectures in particular (the MICASE’s science-lecture subsection). On the one hand, science podcasts were found to contain a good amount of both academic and scientific vocabulary, as well as to have a very similar lexical density to that of lectures. On the other hand, their vocabulary level and speech rate were somewhat higher than those of lectures. Based on the analysis, we recommend the use of science podcasts for both EAP and EST listening for advanced learners. For learners with lower proficiencies, vocabulary support and/or adjusting the speed of the science podcasts is advised. ","PeriodicalId":503127,"journal":{"name":"Ibérica","volume":"310 10","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Vocabulary profile, lexical density and speech rate of science podcasts: How adequate are they for EAP and ESP listening?\",\"authors\":\"Milica Vuković-Stamatović, D. Carapic\",\"doi\":\"10.17398/2340-2784.47.201\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"One potential source of authentic input for English for Academic Purposes (EAP) and English for Science and Technology (EST) listening could be science podcasts. In this study, we examine the vocabulary level of this genre, as well as the amount of the common specialized, i.e. academic and scientific vocabulary it contains. Additionally, we study its lexical density and speech rate. These properties are examined on a corpus of 126 science podcasts produced by the journal Nature, the American Association for the Advancement of Science (AAAS) and the magazine Scientific American. These are compared against those determined for a corpus of lectures in general (the MICASE lectures) and a corpus of science lectures in particular (the MICASE’s science-lecture subsection). On the one hand, science podcasts were found to contain a good amount of both academic and scientific vocabulary, as well as to have a very similar lexical density to that of lectures. On the other hand, their vocabulary level and speech rate were somewhat higher than those of lectures. Based on the analysis, we recommend the use of science podcasts for both EAP and EST listening for advanced learners. For learners with lower proficiencies, vocabulary support and/or adjusting the speed of the science podcasts is advised. \",\"PeriodicalId\":503127,\"journal\":{\"name\":\"Ibérica\",\"volume\":\"310 10\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ibérica\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.17398/2340-2784.47.201\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ibérica","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17398/2340-2784.47.201","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
科学播客是学术英语(EAP)和科技英语(EST)听力的一个潜在真实输入来源。在本研究中,我们考察了这一体裁的词汇水平,以及它所包含的常用专业词汇(即学术和科学词汇)的数量。此外,我们还研究了其词汇密度和语速。这些特性是在《自然》(Nature)杂志、美国科学促进会(AAAS)和《科学美国人》(Scientific American)杂志制作的 126 个科学播客语料库中进行检验的。这些特性与一般讲座语料库(MICASE 讲座语料库)和科学讲座语料库(MICASE 科学讲座分库)所确定的特性进行了比较。一方面,科学播客包含大量学术和科学词汇,词汇密度与讲座非常相似。另一方面,播客的词汇量和语速略高于讲座。基于上述分析,我们建议高级学习者在 EAP 和 EST 听力中使用科学播客。对于水平较低的学习者,建议提供词汇支持和/或调整科学播客的语速。
Vocabulary profile, lexical density and speech rate of science podcasts: How adequate are they for EAP and ESP listening?
One potential source of authentic input for English for Academic Purposes (EAP) and English for Science and Technology (EST) listening could be science podcasts. In this study, we examine the vocabulary level of this genre, as well as the amount of the common specialized, i.e. academic and scientific vocabulary it contains. Additionally, we study its lexical density and speech rate. These properties are examined on a corpus of 126 science podcasts produced by the journal Nature, the American Association for the Advancement of Science (AAAS) and the magazine Scientific American. These are compared against those determined for a corpus of lectures in general (the MICASE lectures) and a corpus of science lectures in particular (the MICASE’s science-lecture subsection). On the one hand, science podcasts were found to contain a good amount of both academic and scientific vocabulary, as well as to have a very similar lexical density to that of lectures. On the other hand, their vocabulary level and speech rate were somewhat higher than those of lectures. Based on the analysis, we recommend the use of science podcasts for both EAP and EST listening for advanced learners. For learners with lower proficiencies, vocabulary support and/or adjusting the speed of the science podcasts is advised.