Word Detection

Word detection encompasses various tasks, from identifying specific keywords in speech (keyword spotting) to locating words within text or translating documents while detecting errors like hallucinations or omissions. Current research emphasizes developing efficient and robust models, often employing transformer-based architectures and optimal transport algorithms, to improve accuracy and reduce computational costs across diverse languages and data conditions. These advancements have significant implications for applications ranging from improved speech recognition and machine translation to enhanced accessibility for language learners and more effective analysis of social media for crime detection.