- Duration: Flexible
Course details
Machine Translation is a well-known sub field of Computational Linguistics that investigates the use of software to automatically translate text or speech from one language to another. It becomes a challenge to handle language specific features when it comes to machine translation such as differences in linguistic grammar, translation of idioms, and the isolation of anomalies particular to a language. Statistical and neural methods are being used extensively today to solve this problem and to get better translations. In this course we would focus on building a fast and high performance statistical machine translation system learning the various methodologies, tools and techniques widely used to accomplish it. In this course you will get hands-on in building your own statistical machine translation system using the Open Source Moses framework.
Updated on 14 November, 2018- Business Data Architect Skill-UpUSD 263Duration: Upto 125 Hours
- Functional Skills Maths Level 2 Course DriveUSD 24
USD 343Duration: Upto 6 Hours