Lexical Aware

Lexical awareness in natural language processing (NLP) focuses on leveraging word-level information to improve various tasks, from machine translation and text-to-visualization to cross-lingual transfer and legal information retrieval. Current research emphasizes integrating lexical knowledge with other linguistic features (e.g., syntax, semantics) using architectures like transformers and retrieval-augmented generation, often aiming to enhance model robustness and accuracy, particularly in low-resource settings. This area is crucial for advancing NLP capabilities, enabling more accurate and reliable systems for diverse applications, including improved cross-lingual understanding and more accessible information processing.