Monolingual Retrieval

Monolingual retrieval focuses on efficiently searching documents and queries within a single language, aiming to improve accuracy and speed compared to cross-lingual approaches. Current research emphasizes developing effective monolingual models, particularly for low-resource languages, often employing techniques like knowledge distillation and multi-vector architectures to enhance performance with limited data. These advancements are crucial for broadening access to information retrieval technologies across diverse linguistic communities and improving the efficiency of various applications relying on information retrieval.