<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper discusses the multi-scenario application of ChatGPT-based language modeling in English language teaching, and empirical experiments are conducted to support the research findings. The study includes constructing and analyzing English composition scoring and similarity detection models. The BERT-BiLSTM algorithm was utilized and compared to the Word2Vec-BiLSTM model. The BERT-BiLSTM-based English composition scoring model has a high correlation and consistency with the original scores, with an average correlation of 0.72 and a consistency of 82%. Conversely, the Word2Vec-BiLSTM model has a lesser correlation and consistency. We created a model and used different K values for the experiment to detect English composition similarity. The correctness, recall, and F1 measures were higher at a K value 200, with F1 values fluctuating between 89.35% and 95.14%. These support the high accuracy and efficiency of ChatGPT-based language modeling in English language teaching.</p>
</abstract>

This paper discusses the multi-scenario application of ChatGPT-based language modeling in English language teaching, and empirical experiments are conducted to support the research findings. The study includes constructing and analyzing English composition scoring and similarity detection models. The BERT-BiLSTM algorithm was utilized and compared to the Word2Vec-BiLSTM model. The BERT-BiLSTM-based English composition scoring model has a high correlation and consistency with the original scores, with an average correlation of 0.72 and a consistency of 82%. Conversely, the Word2Vec-BiLSTM model has a lesser correlation and consistency. We created a model and used different K values for the experiment to detect English composition similarity. The correctness, recall, and F1 measures were higher at a K value 200, with F1 values fluctuating between 89.35% and 95.14%. These support the high accuracy and efficiency of ChatGPT-based language modeling in English language teaching.

Multi-scenario application of Chatgpt-based language modeling for empowering English language teaching and learning

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This paper discusses the multi-scenario application of ChatGPT-based language modeling in English language teaching, and empirical experiments are conducted to...

Multi-scenario application of Chatgpt-based language modeling for empowering English language teaching and learning

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 31. Jan. 2024

Akzeptiert: 07. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0790

Schlüsselwörter
ChatGPT, English language teaching, Multi-scenario application, Similarity detection

© 2024 Hui Sun, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Multi-scenario application of Chatgpt-based language modeling for empowering English language teaching and learning

Online veröffentlicht: 01. Apr. 2024

Seitenbereich: -

Eingereicht: 31. Jan. 2024

Akzeptiert: 07. Feb. 2024

DOI: https://doi.org/10.2478/amns-2024-0790

SchlüsselwörterChatGPT, English language teaching, Multi-scenario application, Similarity detection

© 2024 Hui Sun, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
ChatGPT, English language teaching, Multi-scenario application, Similarity detection