Neural machine translation is a new way to translate languages using a single neural network. The traditional method uses fixed-length vectors, which can limit performance. A better approach is to let the model search for relevant parts of a sentence to predict words, without needing explicit segments. This method matches the quality of existing translation systems for English-to-French. The model's alignments with words make sense.