BanglaT5 Paraphrase Model
| Property | Value |
|---|---|
| License | CC-BY-NC-SA-4.0 |
| Language | Bengali |
| Framework | PyTorch, Transformers |
| Paper | arXiv:2210.05109 |
What is banglat5_banglaparaphrase?
BanglaT5_banglaparaphrase is a specialized sequence-to-sequence transformer model designed for generating high-quality paraphrases in Bengali language. Fine-tuned on the BanglaParaphrase dataset, it represents a significant advancement in Bengali natural language processing, achieving state-of-the-art performance with a sacreBLEU score of 32.8.
Implementation Details
The model is built upon the T5 architecture and utilizes a span corruption objective for pre-training. It requires specific text normalization through a custom pipeline for optimal performance. The implementation is accessible through the Hugging Face Transformers library, with over 817,000 downloads demonstrating its practical utility.
- Utilizes custom normalization pipeline for preprocessing
- Achieves 63.58 ROUGE-L score on benchmark tests
- Implements text-to-text generation architecture
- Supports batch processing and GPU acceleration
Core Capabilities
- High-quality Bengali paraphrase generation
- Competitive performance metrics (94.80 BERTScore)
- Efficient text processing with specialized tokenization
- Seamless integration with modern ML frameworks
Frequently Asked Questions
Q: What makes this model unique?
The model's unique strength lies in its specialized focus on Bengali paraphrase generation, outperforming alternatives like IndicBART and IndicBARTSS with significantly higher BLEU and ROUGE-L scores. Its custom normalization pipeline ensures optimal text processing for Bengali language specifics.
Q: What are the recommended use cases?
This model is ideal for Bengali text paraphrasing tasks, content generation, and data augmentation in Bengali NLP applications. It's particularly suitable for applications requiring semantic preservation while generating alternative text forms.
