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captionsParsing

This project is focused on improving machine learning-generated captions by comparing them with human-generated captions. The system calculates word inaccuracy scores to measure and evaluate the quality of ML-generated captions against human benchmarks, aiming to make automated captioning as accurate and natural as human-created captions.

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Measuring accuracy of machine-generated caption against human-generated captions on STEM educational videos

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