Automatic text generation system for endangered languages based on conditional generative adversarial networks
This paper explores the application of Conditional Generative Adversarial Networks (CGANs) in the field of endangered language text generation. The focus is on overcoming challenges associated with discrete data handling in natural language generation by utilizing an improved CGAN model. We introduc...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Systems and Soft Computing |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2772941925001243 |
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