<ul><li>The project aims to create a seamless bilingual reading experience by aligning two editions of a book through semantic alignment.</li><li>The process involves splitting text files of Russian and Spanish editions into readable, semantically matched fragments using spaCy for smarter segmentation.</li><li>To determine the optimal chunk size for the Spanish edition, a greedy pointer-based alignment strategy is employed, breaking down long sentences into smaller parts for better alignment accuracy.</li><li>Improving alignment through embedding representation and cosine similarity, translation is used to enhance alignment across languages, resulting in better alignment scores.</li></ul>

AI-Powered Bilingual Reading

Discover more