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A Multimodal Model for College English Teaching Using Text and Image Feature Extraction

The rapid development of the internet and multimedia technology in recent years has continued to push foreign language education in the direction of modern education. Multimodal education is becoming more and more important in the field of English education as an advanced educational concept in the...

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Detalles Bibliográficos
Autores principales: Zhao, Dan, Liu, Yafang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398722/
https://www.ncbi.nlm.nih.gov/pubmed/36017466
http://dx.doi.org/10.1155/2022/3601545
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author Zhao, Dan
Liu, Yafang
author_facet Zhao, Dan
Liu, Yafang
author_sort Zhao, Dan
collection PubMed
description The rapid development of the internet and multimedia technology in recent years has continued to push foreign language education in the direction of modern education. Multimodal education is becoming more and more important in the field of English education as an advanced educational concept in the field of language education. As a result, many English teachers have begun to emphasize the use of multimodal teaching theory in their classrooms. This paper investigates a multimodal model that incorporates text and image features, based on multimodal discourse theory, systemic functional linguistics theory, and foreign language teaching theory. This paper develops a multimodal model that can search for images and texts from various perspectives. We use an image feature bias term in the log-bilinear natural language model to influence the probability of predicting the next word based on the context, resulting in a multimodal model. The experimental results show that the proposed model, as an image-text relationship evaluation index system, has a slower search speed than other models but better search accuracy.
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spelling pubmed-93987222022-08-24 A Multimodal Model for College English Teaching Using Text and Image Feature Extraction Zhao, Dan Liu, Yafang Comput Intell Neurosci Research Article The rapid development of the internet and multimedia technology in recent years has continued to push foreign language education in the direction of modern education. Multimodal education is becoming more and more important in the field of English education as an advanced educational concept in the field of language education. As a result, many English teachers have begun to emphasize the use of multimodal teaching theory in their classrooms. This paper investigates a multimodal model that incorporates text and image features, based on multimodal discourse theory, systemic functional linguistics theory, and foreign language teaching theory. This paper develops a multimodal model that can search for images and texts from various perspectives. We use an image feature bias term in the log-bilinear natural language model to influence the probability of predicting the next word based on the context, resulting in a multimodal model. The experimental results show that the proposed model, as an image-text relationship evaluation index system, has a slower search speed than other models but better search accuracy. Hindawi 2022-08-16 /pmc/articles/PMC9398722/ /pubmed/36017466 http://dx.doi.org/10.1155/2022/3601545 Text en Copyright © 2022 Dan Zhao and Yafang Liu. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhao, Dan
Liu, Yafang
A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
title A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
title_full A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
title_fullStr A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
title_full_unstemmed A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
title_short A Multimodal Model for College English Teaching Using Text and Image Feature Extraction
title_sort multimodal model for college english teaching using text and image feature extraction
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9398722/
https://www.ncbi.nlm.nih.gov/pubmed/36017466
http://dx.doi.org/10.1155/2022/3601545
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