Establishing a COVID-19 Lemmatized Word List for Journalists and ESP Learners
收藏NIAID Data Ecosystem2026-03-13 收录
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https://data.mendeley.com/datasets/j8256h483m
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资源简介：
In this dataset, we used an 18,249,093-word corpus to build a lemmatized academic word list (AWL) that is derived from covid-19 pandemic-related articles published in News Rx from January 1 - October 31, 2020. We classified the most frequent 550 words into six categories:
1- acronyms and abbreviations (see Excel sheet 2)
2- diseases (see Excel sheet 3)
3- COVID-19 (see Excel sheet 4)
4- biology (see Excel sheet 5)
5- medicine (see Excel sheet 6)
6- and scientific disciplines (see Excel sheet 7)
创建时间：
2021-12-30
