Parallel Text and Image Corpus
Parallel Text and Image Corpus
Introduction to Parallel Text and Image Corpus
The Parallel Text and Image Corpus is a valuable collection of images of Arabic and Persian texts along with human-verified text equivalents. This corpus is an unparalleled resource for research related to image-to-text conversion and OCR system evaluation.
Statistics and Figures
- Images of one million words in Arabic and Persian languages
- 116 book volumes as data sources
- Human-verified text equivalent for each image
Corpus Content
| Feature | Description |
|---|---|
| Languages | Arabic and Persian |
| Unit of Measurement | One million image words |
| Sources | 116 book volumes |
| Data Quality | Human-verified text equivalents |
Applications
- Image-to-Text Conversion (OCR): Training and evaluating Optical Character Recognition systems
- OCR Model Evaluation: Measuring the accuracy of image-to-text conversion systems
- Digital Document Processing: Improving the quality of book and document digitization
- Corpus Linguistics Research: Comparative analysis of text and images
- Deep Learning Model Development: Training computer vision and NLP models
Benefits
- Large Volume: One million image words for training deep models
- Human Verification: High-quality, human-verified text equivalents
- Source Diversity: Derived from 116 different book volumes
- Bilingual: Support for both Arabic and Persian languages
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