Machine translation learning resources
NPFL087 Statistical Machine Translation is an offline class from the Institute of Formal and Applied Linguistics, Charles University. This in-person class is taught by Ondřej Bojar. This course is designed for computer science students.
MT Talks is a series of mini-lectures on machine translation from the Institute of Formal and Applied Linguistics, Charles University.
LING 506 Machine Translation: Models & Algorithms is an online asynchronous class from the University of Illinois Urbana-Champaign. This asynchronous class is taught by Lane Schwartz. This course is designed for computer science students.
EN 601.468/668 Machine Translation is an in person class from Johns Hopkins University. The class is taught by Philipp Koehn. This course is designed for computer science students.
INFR11062 Machine translation was an in person class offered by The University of Edinburgh. The class was taught by Rico Sennrich, Alham Aji, Jonathan Mallinson, Ida Szubert, and Denis Emelin. This course was designed for computer science students. This course is no longer offered, it is now a part of the course “Natural language understanding, generation, and machine translation”.
The Machine Translation course is a massive open online course from Karlsruhe Institute of Technology. This pre-recorded course is taught by Alexander Waibel, the co-founder of KITES, and Jan Niehus.
Machine Translation in Python in a Datacamp program taught by Thushan Ganegedara. This pre-recorded program is designed for developers with intermediate knowledge of Python.
Machine Translation in a course from Great Learning. This pre-recorded course is designed for developers with intermediate knowledge of computer science.
The Machine Translation Master Class is offered by the Localization Institute and taught by Peng Wang. This interactive class is designed for project managers, vendors, buyers, decision-makers, IT professionals and content managers.
The Machine Translation University is a set of free online learning resources from Intento. These resources are designed for localization specialists and buyers.