Idiomatic Expression

Idiomatic expressions, phrases with non-compositional meanings, pose a significant challenge for natural language processing (NLP) models, hindering accurate translation and generation. Current research focuses on improving the ability of models, such as BERT and BART variants, to understand and generate idiomatic language through techniques like adapter modules and contextualized embeddings, often evaluated using novel automatic metrics. This work is crucial for advancing NLP capabilities in areas like machine translation and language learning, ultimately leading to more natural and nuanced human-computer interaction.