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Enhancing Japanese OCR with Accurate Image Transcription: A Data Study
This case study explores the challenges and solutions in Japanese OCR data processing, focusing on image transcription accuracy. It details the methods used to overcome quality control hurdles such as spelling errors, punctuation mistakes, and missing translations. By leveraging a team of over 50 native speakers and linguists, we achieved high precision, ensuring the data’s quality for various applications, including AI training and data annotation.
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gtsrenuka2024 |
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gts.renuka@gmail.com |
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10-Sep-2024 10:42 am |
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