Machine Translation
Welcome to the CLICS-Machine Translation MOOCThis 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.
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.
This course is taught by Prof. Dr. Alexander Waibel (http://isl.anthropomatik.kit.edu/english/21_74.php
) and Assistant Professor Dr. Jan Niehus (https://www.maastrichtuniversity.nl/jan.niehues)
.
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Syllabus
Syllabus - What you will learn from this course
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
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I purchase the Certificate?
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
You should have previous basic understanding about MT. Otherwise, you won't understand the core parts of it.
Wonderful course! Jan Niehues is a wonderful presenter. I really enjoyed all course materials. Challenging and informative.
This course is not easy to follow. The additional readings are typically scientific papers on the topic, which is not helpful. How about a beginner's course on the topic?
The course strengthned my MT foundations! Really appreciate the effort the team put into it.
