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Titlebook: Vocabulary, Corpus and Language Teaching; A Machine-Generated Muthyala Udaya,Chada Ramamuni Reddy Book 2024 The Editor(s) (if applicable)

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發(fā)表于 2025-3-21 17:15:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Vocabulary, Corpus and Language Teaching
副標(biāo)題A Machine-Generated
編輯Muthyala Udaya,Chada Ramamuni Reddy
視頻videohttp://file.papertrans.cn/985/984001/984001.mp4
概述A Machine-Generated Literature Overview of Corpus and Language Teaching.Demonstrates innovative vocabulary-development techniques.Shows how ESL/EFL corpora influence classroom dynamics
圖書(shū)封面Titlebook: Vocabulary, Corpus and Language Teaching; A Machine-Generated Muthyala Udaya,Chada Ramamuni Reddy Book 2024 The Editor(s) (if applicable)
描述.This book is the result of a collaboration between a human editor and an artificial intelligence algorithm to create a machine-generated literature overview of research articles analyzing the importance of ESL/EFL vocabulary and corpus studies. It is a new publication format in which state-of-the-art computer algorithms are applied to select the most relevant articles published in Springer Nature journals and create machine-generated literature reviews by arranging the selected articles in a topical order and creating short summaries of these articles..This comprehensive book explores ESL/EFL vocabulary and corpus studies from five main perspectives: acquisition, strategies, ICT, corpus, and current practices. The sections delve into topics such as the impact of technology on learning, the power of corpora in language education, and innovative vocabulary-development techniques..This book is an essential resource for researchers, educators, and language facilitators seeking a deeper understanding of vocabulary within ESL/EFL teaching and learning contexts..
出版日期Book 2024
關(guān)鍵詞vocabulary instruction; vocabulary acquisition; vocabulary information technology; language teaching an
版次1
doihttps://doi.org/10.1007/978-3-031-45986-3
isbn_softcover978-3-031-45988-7
isbn_ebook978-3-031-45986-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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發(fā)表于 2025-3-21 20:58:10 | 只看該作者
Vocabulary and Acquisition,he original content is read and cited. The auto generated summaries were curated by the editor to meet Springer Nature publication standards. To cite this content, please refer to the original papers.
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發(fā)表于 2025-3-22 04:16:11 | 只看該作者
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發(fā)表于 2025-3-22 07:46:13 | 只看該作者
ICT for Vocabulary Learning,he original content is read and cited. The auto generated summaries were curated by the editor to meet Springer Nature publication standards. To cite this content, please refer to the original papers.
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Introduction,special place in the science world since they help solve many problems. In particular, AI & Ml resolve one of the most critical issues for researchers: data analysis. As huge amounts of data make it difficult to find relevant information necessary for researchers, AI quickly solves such issues with
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發(fā)表于 2025-3-23 00:45:53 | 只看該作者
Vocabulary and Acquisition, summarizer aims to identify the most important sentences of a text using an algorithm and uses those original sentences to create the auto-summary (unlike generative AI). As the constituted sentences are machine selected, they may not fully reflect the body of the work, so we strongly advise that t
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