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ANALYZING THE LEXICAL DENSITY OF SPECIALIZED PODCASTS FOR ENGLISH FOR SPECIFIC PURPOSES: A CORPUS BASED STUDY


Article Information

Title: ANALYZING THE LEXICAL DENSITY OF SPECIALIZED PODCASTS FOR ENGLISH FOR SPECIFIC PURPOSES: A CORPUS BASED STUDY

Authors: Jamal Nasar, Numan Bilal, Dr. Sajid Iqbal, Tahir Shah

Journal: International Premier Journal of Languages & Literature (IPJLL)

HEC Recognition History
Category From To
Y 2024-10-01 2025-12-31

Publisher: Global Heritage Research Center for Languages and Literature, Bhalwal, District Sargodha, Pakistan

Country: Pakistan

Year: 2025

Volume: 3

Issue: 4

Language: en

Keywords: CorpusPronounsAdjectivesverbslexical densitypodcastsnounsAdverbs

Categories

Abstract

This study examines the lexical density and linguistic characteristics of specialized podcasts in the fields of business, science and technology, and history using English for Specific Purposes (ESP) frameworks. As part of a corpus-based quantitative study to determine the distribution of parts-of-speech and lexical density, 360 podcast episode transcripts totaling approximately 2.8 million words were examined with the help of the Analyse My Writing tool. History has the highest lexical density (48.19%), followed by business (45.19%) and science and technology (44.96%), according to the findings. General speech has a lower lexical density overall. Domain-specific patterns can be seen in the parts-of-speech analysis: nouns and prepositions predominate in history, verbs and pronouns predominate in business, and adjectives and adverbs predominate in science and technology. These results show that ESP podcasts give learners authentic and lexically sufficient input by combining aspects of spoken and written language. The study highlights the pedagogical benefits of podcasts as adaptable and discipline-specific resources for improving listening comprehension, vocabulary, and professional communication skills.


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