Welcome to the CLICS-Machine Translation MOOC. This MOOC explains the basic principles of machine translation. Machine translation is the task of translating from one natural language to another natural language. Therefore, these algorithms can help people communicate in different languages. Such algorithms are used in common applications, from Google Translate to apps on your mobile device.

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After taking this course you will be able to understand the main difficulties of translating natural languages and the principles of different machine translation approaches. A main focus of the course will be the current state-of-the-art neural machine translation technology which uses deep learning methods to model the translation process. You will be able to decide which concepts fit your machine translation application best.

Syllabus

WEEK 1: Introduction to the basics of Machine Translation

WEEK 2: Language

WEEK 3: Evaluation

WEEK 4: Statistical Machine Translation

WEEK 5: Neural Network Models

WEEK 6: NMT

WEEK 7: More NMT

Neural Network Models

Natural Language

Translation

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Course Auditing

Coursera

Karlsruhe Institute of Technology - KIT