Computational linguistics is a burgeoning field, and skills are in high-demand in many areas, including speech recognition, artificial intelligence, machine translation, big data, automated text ...

The computational linguistics training at Brandeis enables both initial success and satisfying long term careers in this burgeoning field. You'll find your skills in demand in a variety of areas that ...

Machine Translation: Services like Google Translate leverage NLP to translate text between ... Researchers are actively exploring methods better to manage linguistic variations, dialects, and ...

Natural language applications such as dialogue systems and machine translation. - Corpus-driven approaches to linguistic questions in areas such as syntax, semantics and pragmatics, phonology and ...

Translation is that space where language, culture, history, politics and incommensurable difference all collide and sometimes cohere to make sense. At a time of intensive globalization, when cultures ...

Deep learning is revolutionizing how machine translation systems are built today. This book introduces the challenge of machine translation and evaluation - including historical, linguistic, and ...

Researchers from Aalborg University and the University of Groningen show how to bring literary machine translations closer to ...

I am also interested in machine translation and texts produced by language learners. Previously, I was involved in automatic speech recognition, unsupervised morphology, language modeling and search ...

With increasing globalization, statistical machine translation will be central to communication and commerce. Based on courses and tutorials, and classroom-tested globally, it is ideal for instruction ...

Slator's research reveals AI's impact on translation, from MT to all-around automation, showcasing 20 must-see use cases.