Multiword Expression

Multiword expressions (MWEs), phrases whose meaning isn't simply the sum of their parts (e.g., "break a leg"), pose significant challenges for natural language processing. Current research focuses on improving MWE handling within transformer-based models, exploring techniques like specialized tokenization, multilingual training, and the incorporation of contextual information to better capture nuanced semantics. These advancements are crucial for enhancing the accuracy and efficiency of various NLP applications, including machine translation, text summarization, and question answering, ultimately leading to more robust and human-like language processing systems.