Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)

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Integrated T5 Neural Network and Spacy-Based AI Framework for Advanced Grammar and Speech Analysis

Authors
V. Vennila1, *, A. Rajivkannan1, S. Savitha2, G. Jeeva Santhosh3, R. Jeevanantham3, K. Kavin3
1Professor, Department of Computer Science Engineering, K.S.R. College Engineering, Tiruchengode, Namakkal, India
2Assistant Professor, Department of Computer Science Engineering, K.S.R. College Engineering, Tiruchengode, Namakkal, India
3Research Scholar, Department of Computer Science Engineering, K.S.R. College Engineering, Tiruchengode, Namakkal, India
*Corresponding author. Email: v.vennila@ksrce.ac.in
Corresponding Author
V. Vennila
Available Online 23 May 2025.
DOI
10.2991/978-94-6463-718-2_64How to use a DOI?
Keywords
T5 neural network; SpaCy; AI framework; grammar analysis; speech analysis; text-to-text transfer learning; multimodal processing
Abstract

We describe a novel artificial intelligence (AI) framework using the T5 neural network coupled with the SpaCy natural language processing library to contribute to Grammar and Speech analysis. By combining the power of T5 model (Text-to-Text Transfer Transformer) in transfer learning with SpaCy’s fast and effective tokenization and linguistic features, the framework deals with more complex challenges in multimodal NLP. It can enhance scalability, real-time adaptability, and improve speech-text synergy. Some practical applications where semantic similarity can be used could include automated transcription, advanced grammar correction, sentiment analysis, and expressive text-to-speech conversion. The framework comes with the promise of having the ability to be fine-tuned, adapted to domain-specific language, and a feature that helps you avoid bias in real-world implications. This framework facilitates research at the intersection of methodological sophistication and accessibility of open-source tools, potentially elevating the standard for innovation in AI-powered language analysis.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
Series
Advances in Computer Science Research
Publication Date
23 May 2025
ISBN
978-94-6463-718-2
ISSN
2352-538X
DOI
10.2991/978-94-6463-718-2_64How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - V. Vennila
AU  - A. Rajivkannan
AU  - S. Savitha
AU  - G. Jeeva Santhosh
AU  - R. Jeevanantham
AU  - K. Kavin
PY  - 2025
DA  - 2025/05/23
TI  - Integrated T5 Neural Network and Spacy-Based AI Framework for Advanced Grammar and Speech Analysis
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 741
EP  - 754
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_64
DO  - 10.2991/978-94-6463-718-2_64
ID  - Vennila2025
ER  -