Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 4th International Conference on Signal Processing and Machine Learning

Series Vol. 52 , 27 March 2024


Open Access | Article

A comprehensive overview of the application of artificial intelligence in language learning

Ziru Zhou * 1
1 Hangzhou Dianzi University

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 52, 138-145
Published 27 March 2024. © 27 March 2024 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Ziru Zhou. A comprehensive overview of the application of artificial intelligence in language learning. ACE (2024) Vol. 52: 138-145. DOI: 10.54254/2755-2721/52/20241481.

Abstract

With the rapid advancement of artificial intelligence, AI technology has made significant progress in the field of language. Machine translation has become the dominant method, replacing manual translation due to its convenience and speed. This article will discuss three different aspects: translation, information retrieval, and language artificial intelligence. In the translation section, three distinct translation models will be analyzed, using Google Translate as a foundation. These models have transformed the translation industry and improved accuracy and efficiency. In the information retrieval section, the differences between semantic search involving AI and traditional keyword-based search techniques will be explored. Semantic search, driven by AI, provides more accurate and relevant search results by understanding the context and intent behind user queries. The impact of these advancements on search engine optimization (SEO) practices will also be discussed. Furthermore, the article will delve into the types of speech recognition and classify speech recognition technologies. Finally, the article will summarize the entire content and provide an outlook on future developments.

Keywords

Artificial Intelligence, Natural Language Processing, Machine Learning, Speech recognition

References

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2. Wei, Z. (2020, April). The development prospect of English translation software based on artificial intelligence technology. In Journal of Physics: Conference Series (Vol. 1533, No. 3, p. 032081). IOP Publishing.

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4. Jinchao Zhang. (2018),Why “Transformers” is powerful: A comprehensive analysis of the Google Tensor2Tensor system from model to code,https://cloud.tencent.com/developer/article/1153079

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8. Groves, M., & Mundt, K. (2015). Friend or foe? Google Translate in language for academic purposes. English for Specific Purposes, 37, 112-121.

9. Šoštarić, M., Pavlović, N., & Boltužić, F. (2019). Domain adaptation for machine translation involving a low-resource language: Google AutoML vs. from-scratch NMT systems. Translating and the Computer, 41, 113-124.

10. Bast, Hannah; Buchhold, Björn; Haussmann, Elmar (2016). "Semantic search on text and knowledge bases". Foundations and Trends in Information Retrieval. 10 (2–3): 119–271. doi:10.1561/1500000032. Retrieved 1 December 2018.

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Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 4th International Conference on Signal Processing and Machine Learning
ISBN (Print)
978-1-83558-349-4
ISBN (Online)
978-1-83558-350-0
Published Date
27 March 2024
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/52/20241481
Copyright
27 March 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated