About this document
TNM Lecture Attention by rpal03icsm is a document available to read on EtoBox.
Neural Machine Translation (NMT) utilizes a sequence-to-sequence model comprising an encoder and decoder RNNs to translate text by conditioning the output on the input encoding. This model is versatile and can be applied to various NLP tasks beyond translation, such as summarization and dialogue generation. Techniques like greedy decoding, beam search, and attention mechanisms are employed to enhance the efficiency and accuracy of the translation process.
- Author
- rpal03icsm
- Language
- EN