AncientLanguageTranslation.heb-eng

An AI-based Ancient Hebrew Language Translator aims to revive Ancient Hebrew by constructing a comprehensive dataset with contemporary and ancient Hebrew samples. Seamless integration of the Google Vision API facilitates Optical Character Recognition (OCR) for image processing. The translation process initiates in English through the model, leading to a multilingual interface. This initiative represents a crucial step in preserving ancient languages in the digital age. The project incorporates Biblical and Paleo Hebrew dictionaries for linguistic accuracy and utilizes LSTM and Transformer (NLP) model architectures. The chosen Transformer model achieves a Bleu score of 14.8 on a complex dataset, securing the second position in translation analysis with different model NLP test sets. The translation initiative represents a crucial step in preserving ancient languages in the digital age.