Transfer Learning for Cross-Language Natural Language Processing Models

Authors

  • Jingxuan Xiao Georgia Institution of Technology
  • Jiawei Wu Illinois Institute of Technology

DOI:

https://doi.org/10.5281/zenodo.13366733

ARK:

https://n2t.net/ark:/40704/JCTAM.v1n3a05

Keywords:

Transfer Learning, Cross-Language Natural Language Processing, Multilingual Data, Low-Resource Languages, XLM-R, BERT, Model Fine-Tuning, Multilingual Corpora, Domain Adaptation, Computational Resources, NLP Scalability, Sentiment Analysis, Named Entity Recognition, Machine Translation

Abstract

Cross-language natural language processing (NLP) presents numerous challenges due to the wide array of linguistic structures and vocabulary found within each language. Transfer learning has proven itself successful at meeting these challenges by drawing upon knowledge gained in highly resourced languages to enhance performance in lower resource ones. This paper investigates the application of transfer learning in cross-language NLP, exploring various methodologies, models and their efficacy. More specifically, we investigate mechanisms related to model adaptation, fine-tuning techniques and integration of multilingual data sources. Through experiments and analyses on tasks such as sentiment analysis, named entity recognition and machine translation across multiple languages, we demonstrate how transfer learning can enhance model performance. Our experiments reveal significant increases in both prediction accuracy and generalization across low-resource languages - providing valuable insight into future research directions as well as global NLP deployment applications.

Author Biographies

Jingxuan Xiao, Georgia Institution of Technology

Computer Science, Georgia Institution of Technology, Atlanta, GA, USA.

Jiawei Wu, Illinois Institute of Technology

Engineering in Artificial Intelligence for Computer Vision and Control, Illinois Institute of Technology, Chicago, IL, USA.

References

Liu, Tianrui, et al. "Image Captioning in news report scenario." arXiv preprint arXiv:2403.16209 (2024).

Liu, Tianrui, et al. "News recommendation with attention mechanism." arXiv preprint arXiv:2402.07422 (2024).

Wang, Xiaosong, et al. "Advanced network intrusion detection with tabtransformer." Journal of Theory and Practice of Engineering Science 4.03 (2024): 191-198.

Zhang, Ning, et al. "Dose My Opinion Count? A CNN-LSTM Approach for Sentiment Analysis of Indian General Elections." Journal of Theory and Practice of Engineering Science 4.05 (2024): 40-50.

Yi, Xinyao, and Yuxin Qiao. "GPU-Based Parallel Computing Methods for Medical Photoacoustic Image Reconstruction." arXiv preprint arXiv:2404.10928 (2024).

Liu, Tianrui, et al. "Particle filter slam for vehicle localization." arXiv preprint arXiv:2402.07429 (2024).

Xiong, Jize, et al. "Selecting the Best Fit Software Programming Languages: Using BERT for File Format Detection." Journal of Theory and Practice of Engineering Science 4.06 (2024): 20-28.

Liu, Tianrui, et al. "Rumor Detection with a novel graph neural network approach." arXiv preprint arXiv:2403.16206 (2024).

Su, Jing, et al. "Large language models for forecasting and anomaly detection: A systematic literature review." arXiv preprint arXiv:2402.10350 (2024).

Zhou, Zhanxin, et al. "Enhancing Equipment Health Prediction with Enhanced SMOTE-KNN." Journal of Industrial Engineering and Applied Science 2.2 (2024): 13-20.

Zhou, Zhanxin, et al. "An Analysis of the Application of Machine Learning in Network Security." Journal of Industrial Engineering and Applied Science 2.2 (2024): 5-12.

Xu, Changxin, et al. "Enhancing Convergence in Federated Learning: A Contribution-Aware Asynchronous Approach." Computer Life 12.1 (2024): 1-4.

Xu, Changxin, et al. "Deep learning in photovoltaic power generation forecasting: Cnn-lstm hybrid neural network exploration and research." The 3rd International Scientific and Practical Conference. Vol. 363. 2024.

Zhu, Mengran, et al. "Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach." arXiv preprint arXiv:2405.00026 (2024).

Zhou, Jinqiao, et al. "Exploring Public Response to ChatGPT with Sentiment Analysis and Knowledge Mapping." IEEE Access (2024).

Wang, Lun, Wentao Xiao, and Shan Ye. "Dynamic Multi-label Learning with Multiple New Labels." Image and Graphics: 10th International Conference, ICIG 2019, Beijing, China, August 23–25, 2019, Proceedings, Part III 10. Springer International Publishing, 2019.

Wang, Lun, Wei Fang, and Yudi Du. "Load Balancing Strategies in Heterogeneous Environments." Journal of Computer Technology and Applied Mathematics 1.2 (2024): 10-18.

Wang, Lun. "Low-Latency, High-Throughput Load Balancing Algorithms." Journal of Computer Technology and Applied Mathematics 1.2 (2024): 1-9.

Wang, Lun. "Network Load Balancing Strategies and Their Implications for Business Continuity." Academic Journal of Sociology and Management 2.4 (2024): 8-13.

Li, Wanxin. "The Impact of Apple's Digital Design on Its Success: An Analysis of Interaction and Interface Design." Academic Journal of Sociology and Management 2.4 (2024): 14-19.

Wu, Ruibo, Tao Zhang, and Feng Xu. "Cross-Market Arbitrage Strategies Based on Deep Learning." Academic Journal of Sociology and Management 2.4 (2024): 20-26.

Wu, Ruibo. "Leveraging Deep Learning Techniques in High-Frequency Trading: Computational Opportunities and Mathematical Challenges." Academic Journal of Sociology and Management 2.4 (2024): 27-34.

Wang, Lun. "The Impact of Network Load Balancing on Organizational Efficiency and Managerial Decision-Making in Digital Enterprises." Academic Journal of Sociology and Management 2.4 (2024): 41-48.

Chen, Qiang, and Lun Wang. "Social Response and Management of Cybersecurity Incidents." Academic Journal of Sociology and Management 2.4 (2024): 49-56.

Song, Cen. "Optimizing Management Strategies for Enhanced Performance and Energy Efficiency in Modern Computing Systems." Academic Journal of Sociology and Management 2.4 (2024): 57-64.

Zhou, Zhanxin, and Ruibo Wu. "Stock Price Prediction Model Based on Convolutional Neural Networks." Journal of Industrial Engineering and Applied Science 2.4 (2024): 1-7.

Zhang, Can, Zhanxin Zhou, and Ruibo Wu. "Optimization of Automated Trading Systems with Deep Learning Strategies." Journal of Industrial Engineering and Applied Science 2.4 (2024): 8-14.

Zhang, Can, Zhanxin Zhou, and Ruibo Wu. "Analyzing and Predicting Financial Time Series Data Using Recurrent Neural Networks." Journal of Industrial Engineering and Applied Science 2.4 (2024): 15-21.

Chen, Qiang, Daoming Li, and Lun Wang. "Blockchain Technology for Enhancing Network Security." Journal of Industrial Engineering and Applied Science 2.4 (2024): 22-28.

Chen, Qiang, Daoming Li, and Lun Wang. "The Role of Artificial Intelligence in Predicting and Preventing Cyber Attacks." Journal of Industrial Engineering and Applied Science 2.4 (2024): 29-35.

Chen, Qiang, Daoming Li, and Lun Wang. "Network Security in the Internet of Things (IoT) Era." Journal of Industrial Engineering and Applied Science 2.4 (2024): 36-41.

Li, Daoming, Qiang Chen, and Lun Wang. "Cloud Security: Challenges and Solutions." Journal of Industrial Engineering and Applied Science 2.4 (2024): 42-47.

Li, Daoming, Qiang Chen, and Lun Wang. "Phishing Attacks: Detection and Prevention Techniques." Journal of Industrial Engineering and Applied Science 2.4 (2024): 48-53.

Song, Cen, Gang Zhao, and Binghan Wu. "Applications of Low-Power Design in Semiconductor Chips." Journal of Industrial Engineering and Applied Science 2.4 (2024): 54-59.

Zhao, Gang, Cen Song, and Binghan Wu. "3D Integrated Circuit (3D IC) Technology and Its Applications." Journal of Industrial Engineering and Applied Science 2.4 (2024): 60-65.

Wu, Binghan, Cen Song, and Gang Zhao. "Applications of Heterogeneous Integration Technology in Chip Design." Journal of Industrial Engineering and Applied Science 2.4 (2024): 66-72.

Song, Cen, Binghan Wu, and Gang Zhao. "Optimization of Semiconductor Chip Design Using Artificial Intelligence." Journal of Industrial Engineering and Applied Science 2.4 (2024): 73-80.

Zou, Zhibin, et al. "Joint spatio-temporal precoding for practical non-stationary wireless channels." IEEE Transactions on Communications 71.4 (2023): 2396-2409.

Zou, Zhibin, et al. "Unified characterization and precoding for non-stationary channels." ICC 2022-IEEE International Conference on Communications. IEEE, 2022.

Zhibin, Z. O. U., S. O. N. G. Liping, and Cheng Xuan. "Labeled box-particle CPHD filter for multiple extended targets tracking." Journal of Systems Engineering and Electronics 30.1 (2019): 57-67.

Jia, Jingwei, et al. "Fast Two-Grid Finite Element Algorithm for a Fractional Klein-Gordon Equation." Contemporary Mathematics (2024): 1164-1180.

Xu, Yuanyuan, et al. "Utilizing emotion recognition technology to enhance user experience in real-time." Computing and Artificial Intelligence 2.1 (2024): 1388-1388.

Yan, Hao, et al. "The Application of Natural Language Processing Technology in the Era of Big Data." Journal of Industrial Engineering and Applied Science 2.3 (2024): 20-27.

Zhang, Beibei, et al. "Review of NLP Applications in the Field of Text Sentiment Analysis." Journal of Industrial Engineering and Applied Science 2.3 (2024): 28-34.

Zhang, Beibei, et al. "Application of Semantic Analysis Technology in Natural Language Processing." Journal of Computer Technology and Applied Mathematics 1.2 (2024): 27-34.

Qu, Ping, et al. "Comparison of Text Classification Algorithms based on Deep Learning." Journal of Computer Technology and Applied Mathematics 1.2 (2024): 35-42.

Zhao, Yuxin, et al. "Assessing User Trust in LLM-based Mental Health Applications: Perceptions of Reliability and Effectiveness." Journal of Computer Technology and Applied Mathematics 1.2 (2024): 19-26.

Liu, Sha, Xiang Li, and Chuanni He. "Study on dynamic influence of passenger flow on intelligent bus travel service model." Transport 36.1 (2021): 25-37.

He, Chuanni, et al. "Synthesizing ontology and graph neural network to unveil the implicit rules for us bridge preservation decisions." Journal of Management in Engineering 40.3 (2024): 04024007.

He, Chuanni, et al. "Facilitating smart contract in project scheduling under uncertainty—A Choquet integral approach." Construction Research Congress 2022. 2022.

Qiao, Yuxin, et al. "Robust Domain Generalization for Multi-modal Object Recognition." arXiv preprint arXiv:2408.05831 (2024).

Qu, Ping, et al. "Comparison of Text Classification Algorithms based on Deep Learning." Journal of Computer Technology and Applied Mathematics 1.2 (2024): 35-42.

Xiao, Jingxuan, et al. "Application of Large Language Models in Personalized Advertising Recommendation Systems." Journal of Industrial Engineering and Applied Science 2.4 (2024): 132-142.

Rao, Jing, et al. "Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion." Journal of Sound and Vibration 542 (2023): 117418.

Yan, Yiming, et al. "Hierarchical Tracking Control for a Composite Mobile Robot Considering System Uncertainties." 2024 16th International Conference on Computer and Automation Engineering (ICCAE). IEEE, 2024.

Guo, Fusen, et al. "A Hybrid Stacking Model for Enhanced Short-Term Load Forecasting." Electronics 13.14 (2024): 2719.

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Published

2024-09-01

How to Cite

Xiao, J., & Wu, J. (2024). Transfer Learning for Cross-Language Natural Language Processing Models. Journal of Computer Technology and Applied Mathematics, 1(3), 30–38. https://doi.org/10.5281/zenodo.13366733

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