Multilingual language processing is a subfield of computational linguistics and natural language processing dedicated to developing computational models and systems capable of analyzing, understanding, or generating text and speech data involving two or more distinct human languages. This research area investigates techniques for handling linguistic diversity, often employing methods such as cross-lingual transfer learning, language-agnostic representations, or parallel corpora, to enable technologies that function effectively across multiple linguistic boundaries.