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Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis

The present study analyzed the vocabulary profile of the News on the Web (NOW) corpus, which contained 12 billion words from online newspapers and magazines in 20 countries to determine the vocabulary knowledge needed to reasonably understand online newspaper and magazine articles. The results showe...

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Autor principal: Ha, Hung Tan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907927/
https://www.ncbi.nlm.nih.gov/pubmed/35282246
http://dx.doi.org/10.3389/fpsyg.2022.800983
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author Ha, Hung Tan
author_facet Ha, Hung Tan
author_sort Ha, Hung Tan
collection PubMed
description The present study analyzed the vocabulary profile of the News on the Web (NOW) corpus, which contained 12 billion words from online newspapers and magazines in 20 countries to determine the vocabulary knowledge needed to reasonably understand online newspaper and magazine articles. The results showed that, in general, knowledge of the most frequent 4,000 word families in the British National Corpus/Corpus of Contemporary American English (BNC/COCA) wordlist plus proper nouns, marginal words, transparent compounds and acronyms was necessary to gain 95% coverage for the NOW corpus. However, when it came to the 98% coverage, online newspaper and magazine articles from different countries had relatively distinct lexical demands. In-depth analyses were carried out and the findings offered comprehensive insights into the issue. Implications for teaching and learning were also provided.
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spelling pubmed-89079272022-03-11 Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis Ha, Hung Tan Front Psychol Psychology The present study analyzed the vocabulary profile of the News on the Web (NOW) corpus, which contained 12 billion words from online newspapers and magazines in 20 countries to determine the vocabulary knowledge needed to reasonably understand online newspaper and magazine articles. The results showed that, in general, knowledge of the most frequent 4,000 word families in the British National Corpus/Corpus of Contemporary American English (BNC/COCA) wordlist plus proper nouns, marginal words, transparent compounds and acronyms was necessary to gain 95% coverage for the NOW corpus. However, when it came to the 98% coverage, online newspaper and magazine articles from different countries had relatively distinct lexical demands. In-depth analyses were carried out and the findings offered comprehensive insights into the issue. Implications for teaching and learning were also provided. Frontiers Media S.A. 2022-02-24 /pmc/articles/PMC8907927/ /pubmed/35282246 http://dx.doi.org/10.3389/fpsyg.2022.800983 Text en Copyright © 2022 Ha. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Ha, Hung Tan
Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis
title Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis
title_full Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis
title_fullStr Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis
title_full_unstemmed Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis
title_short Lexical Profile of Newspapers Revisited: A Corpus-Based Analysis
title_sort lexical profile of newspapers revisited: a corpus-based analysis
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8907927/
https://www.ncbi.nlm.nih.gov/pubmed/35282246
http://dx.doi.org/10.3389/fpsyg.2022.800983
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