Abstract
Under the action of internal and external forces, the material in the soil deviates from its original position, reaches another position through constant movement, and stabilizes. This process is the most common phenomenon in the natural geographic process—soil loss. Soil loss occurs throughout the country, and soil loss not only affects people’s normal agricultural activities but also leads to ecological imbalance. In China, the phenomenon of soil erosion is extremely serious. Almost all regions will have the phenomenon of soil erosion. The total amount of soil erosion is very large, but there are many types of soil erosion reasons. In order to understand the process of soil loss more clearly and protect China’s landforms and water and soil, some scholars have established a soil loss equation. Proposing relevance theory not only brings a whole new dimension to college English vocabulary but also deepens students’ understanding of vocabulary and helps students to remember vocabulary. In the process of teaching, teachers should combine the spelling, comprehension, and use of vocabulary with relevance theory in college vocabulary teaching according to theoretical principles to promote the improvement of college students’ English proficiency and help teachers in English vocabulary teaching. Nowadays, artificial intelligence has been applied to various fields, and the combination of translation technology and artificial intelligence has reached maturity. In college English teaching, it is necessary to combine foreign language learning with the application of technology, which is a brand new challenge for college English teachers. Some teachers and administrators need to change their existing thinking and improve their ability to use artificial intelligence for foreign language teaching according to the requirements of the current environment. Under the action of internal and external forces, the material in the soil deviates from its original position, and reaches another position through constant movement and stabilizes.
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09 March 2022
This article has been retracted. Please see the Retraction Notice for more detail: https://doi.org/10.1007/s12517-022-09805-w
28 September 2021
An Editorial Expression of Concern to this paper has been published: https://doi.org/10.1007/s12517-021-08472-7
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This study was supported by the Fundamental Research Funds for the Central Universities and studies on AI interpreting and Human Interpreting in Liaison interpretation, Project Number: 2018SQN21.
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Responsible Editor: Ahmed Farouk
This article is part of the Topical Collection on Big Data and Intelligent Computing Techniques in Geosciences
This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12517-022-09805-w
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Jiang, H. RETRACTED ARTICLE: Correlation between coastline soil loss rate and artificial intelligence English vocabulary based on GIS system. Arab J Geosci 14, 481 (2021). https://doi.org/10.1007/s12517-021-06804-1
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DOI: https://doi.org/10.1007/s12517-021-06804-1