Lecture 25 (27/05/2021, 3 hours): encoder-decoder architecture; multilingual Semantic Parsing; Neural Machine Translation

Introduction to multilingual Semantic Parsing. Abstract Meaning Represenatation. Introduction to machine translation (MT) and history of MT. Overview of statistical MT. Beam search for decoding. Introduction to neural machine translation: the encoder-decoder neural architecture. The BLEU evaluation score. Performances and recent improvements. Neural MT: the encoder-decoder architecture; BART; advantages; results. Attention in NMT. Additional uses of the encoder-decoder architecture: Generationary.

Closing of the course!