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Dang, Thi Ngoc Yen
English for specific purposes (New York, N.Y.), July 2018, 2018-07-00, Letnik: 51Journal Article
Little is known about the similarities and differences between the vocabulary in hard-sciences (e.g., Maths, Engineering, Medicine) and soft-sciences (e.g., Business, Law, History), especially in spoken discourse. To address this gap, a Soft Science Spoken Word List (SSWL) was developed for second language learners of soft-sciences at English-medium universities. The list consists of the 1,964 most frequent and wide-ranging word-families in a 6.5 million word corpus of soft-science speech, which represents 12 subjects across two equally-sized sub-corpora. The list may allow learners to recognize 94%–97% of the words in academic speech of soft-sciences. A comparison of the SSWL with Dang's (2018) Hard Science Spoken Word List revealed that although the most frequent 3,000 words are important for comprehending academic speech of both soft- and hard-sciences, the value of these words in soft-sciences is greater than in hard-sciences. Pedagogical implications related to this nature of vocabulary in hard- and soft-science speech are provided. •Establishes first spoken wordlist for students of soft-sciences.•Compares vocabulary in hard and soft-science speech.•List may allow learners to achieve 94%–97% coverage of soft-science speech.•Most frequent 3,000 words important in both hard and soft-science speech.•Value of these words greater in soft-sciences than in hard-sciences.
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