MT

NLP in Multilingual Information Retrieval Multilingual information retrieval, or MIL, helps users find relevant content across language boundaries. It makes documents in other tongues accessible without translating every page. Modern systems blend language models, translation, and cross-language representations to bridge gaps between queries and documents. Two common paths dominate MIL design. In translate-first setups, the user query or the entire document collection is translated to a common language, and standard IR techniques run on the unified text. In native multilingual setups, the system uses cross-lingual representations so a query in one language can match documents in another without full translation. Each path has trade-offs in latency, cost, and accuracy. ...