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Last update: T_UFAL (05.05.2017)
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Last update: T_UFAL (05.05.2017)
The goal is to provide (1) a big overview of successful approaches to MT since 1990, including the recent developments due to deep learning after 2015, and (2) detailed technical knowledge and practical experience with one of the approaches or some MT-related tool according to the student's choice. The second goal often leads to the publication of the student's work at a relevant workshop. |
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Last update: doc. RNDr. Ondřej Bojar, Ph.D. (17.06.2019)
Key requirements:
Work on a project (alone or in a group of two to three). Present project results (~30-minute talk). Write a report (~4-page scientific paper).
Contributions to the grade:
10% homework and activity, 30% written exam, 50% project report, 10% project presentation.
The 'credit' (zapocet) is given based on the continuous work on the project throughout the semester. The 'credit' is not required prior to the written exam.
Final Grade: ≥50% good, ≥70% very good, ≥90% excellent.
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Last update: doc. Mgr. Barbora Vidová Hladká, Ph.D. (29.01.2019)
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