Multilingual Query

Multilingual query processing aims to enable search and question-answering systems to understand and respond effectively to queries posed in multiple languages. Current research focuses on improving the accuracy and efficiency of these systems, particularly by exploring advanced model architectures like multilingual transformer networks and leveraging techniques such as subword tokenization and knowledge distillation to handle diverse linguistic structures and code-mixing. This field is crucial for bridging language barriers in information access and human-computer interaction, impacting areas like e-commerce, scientific research, and cross-cultural communication.