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--- |
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license: cc-by-nc-sa-4.0 |
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language: |
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- my |
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tags: |
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- ocr |
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- myanmar-language |
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- myanmar |
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pretty_name: myOCR |
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size_categories: |
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- 10K<n<100K |
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--- |
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# myOCR: Optical Character Recognition Corpus for Myanmar language (Burmese) |
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The Burmese text data are word-segmented with the delimiter _ |
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Line-level Text Images for OCR are under the folder dataset and zipped. |
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The dataset format is |
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``` |
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<img-file-path>\t<text-label> |
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``` |
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Please cite this if you use this dataset |
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``` |
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Thura Aung, Ye Kyaw Thu and Myat Noe Oo, "myOCR: Optical Character Recognition for Myanmar language with Post-OCR Error Correction", In Proceedings of the 19th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP 2024), Nov 11 to 15, 2024, Pattaya, Thailand. |
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``` |
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``` |
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@INPROCEEDINGS{10799448, |
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author={Aung, Thura and Thu, Ye Kyaw and Oo, Myat Noe}, |
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booktitle={2024 19th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)}, |
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title={myOCR: Optical Character Recognition for Myanmar language with Post-OCR Error Correction}, |
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year={2024}, |
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volume={}, |
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number={}, |
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pages={1-6}, |
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keywords={Translation;Optical character recognition;Bidirectional long short term memory;Transformers;Optical imaging;Feature extraction;Adaptive optics;Natural language processing;Convolutional neural networks;Iterative decoding;Optical Character Recognition;Myan-mar language;Synthetic data;Post-OCR;low-resource}, |
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doi={10.1109/iSAI-NLP64410.2024.10799448}} |
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} |
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``` |
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# Coming soon |
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- myOCR model with post-OCR error correction |