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Avis et commentaires pour d'étudiants pour Traduction automatique par Institut de technologie de Karlsruhe

4.6
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28 évaluations
6 avis

À propos du cours

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. 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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1 - 6 sur 6 Avis pour Traduction automatique

par Paula B M

13 nov. 2020

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.

par Taras B

22 nov. 2020

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.

par Olga G

10 oct. 2020

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

par 121910306014 S M

19 nov. 2020

Nice

par Nikita A

12 déc. 2020

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.

par Tomasz M

22 déc. 2020

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?