NLP engineer

This project aims to develop a Neural Machine Translation (NMT) system capable of translating text from Egyptian Arabic to English using a Transformer Encoder-Decoder architecture. The system leverages deep learning techniques to model both syntactic and semantic relationships between the two languages, handling the nuances and dialectal variations specific to Egyptian Arabic. By utilizing self-attention mechanisms and parallel processing, the Transformer achieves efficient and context-aware translation performance.