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?

It emphasizes programming and the fundamentals behind machine translation, not machine translation itself (which was my focus or desire of study). Therefore, it is more oriented towards programming than translation or machine translation post editing itself.

Kurs eher an Programmierer als Übersetzer orientiert. Die Erklärungen waren ziemlich komplex und erforderten meiner Meinung nach gründlichere IT- bzw. Softwareprogrammierungskenntnisse. Wenn der Dozent auf Englisch spricht, sollte seine Aussprache auch verständlicher sein oder zumindest sollten die Untertiteln nicht automatisiert, sondern richtig korrigiert sein.

The course strengthned my MT foundations! Really appreciate the effort the team put into it.

The 6th and 7th week are difficult the follow- too much theory and not enough practicals and very few examples. Week 1-4 is really good. The resources at the end of each lesson are excellent. The lectures can be more interactive.

This course provides a good overview of different techniques and concepts used in MT. There is one improvement that I would recommend. I am convinced that the content would stick better in the memory of the students if the theory could be accompanied by practical exercises. Thank you for this course.

Wonderful course! Jan Niehues is a wonderful presenter. I really enjoyed all course materials. Challenging and informative.

Course is very nice as an overview of the state of research in this area. Lot's of links to scientific papers, but no project included. I would love to work on implementations of some techniques mentioned there. Probably would continue with some TensorFlow tutorial.

You should have previous basic understanding about MT. Otherwise, you won't understand the core parts of it.

The course is difficult but I learn so much thank you.

This course gives a good overview on the topic with good ressources and references for further reading. The only thing, which could be improved in my opinion is a more engaging way of presenting the lectures, but this is complaining at a high level.

Good content but assignments slightly too easy and pleeease improve the English skills or use German instead and place subtitles. Thank you!

An extensive review of machine translation techniques up to the transformer model, with a high level and clear explanation. It is a very good course if one wants to get a broad understanding of machine translation. The tutor creates his own graphical representations that clearly convey the idea behind each concept, which I have never seen used in somewhere else, and they work extremely well.

The tutor pronounces certain English words differently, but I get used to it quickly, and it doesn't bother me since.

Very descriptive. Learnt a lot from them. Thanks for the opportunities

Amazing course! Thank you so much!

very useful

Nice

My review is not 5 stars because of the quality of transcription and subtitles.

I had to follow many videos without audio, and I read the transcript or the subtitles, but their quality was poor. I passed all the time to figure out what the text would have to mean (e.g. "source text" became "sewer text").

The first part of the course is very interesting but the second part focuses too much on technical topics, it's more about informatics than translation. It wasn't easy to follow it and honestly I found it excessive as a translator, since I was more interested on how to use it properly.

I recommend to use API and solve a problem from real world in this course, for example by openNMT or something like that.