A practical introduction to neural machine translation
News:
- Moodle page up an running
- Slides will be available here after each session
Practical Info
Sharid Loáiciga
loaicigasanchez@uni-potsdam.de
Wednesdays 12:00 - 14:00
Runs from 22.04.2020 to 22.07.2020
(Room 2.14.0.32) ONLINE until further notice
| Session | Date | Content | Readings | Due |
|---|---|---|---|---|
| 1 | 22.04.2020 | Introduction, evaluation | ||
| 2 | 29.04.2020 | PW1: Evaluation | PK ch.8 | |
| 3 | 06.05.2020 | Data, preprocessing, alignment | PK ch.2 | PW1 |
| 4 | 13.05.2020 | PW2: Preprocessing | ||
| 5 | 20.05.2020 | Neural networks, neural language models | PK-nmt up to and including section 13.4/page 47 | PW2 |
| 6 | 26.05.2020 | PW3: Introduction to OpenNMT-py | ||
| 7 | 03.06.2020 | QA | ||
| 8 | 10.06.2020 | Sequence-to-sequence models | PK-nmt sections 13.5 & 13.6 | |
| 9 | 17.06.2020 | PW4: Subword NMT, beam search, OPUS data | PK-nmt sections 13.5 & 13.6 | |
| 10 | 24.06.2020 | Attention in sequence-to-sequence models | JMch10 | |
| 11 | 01.07.2020 | Self-attention, Transformer models | Transformers | Choose topic for presentation |
| 12 | 08.07.2020 | QA | PW3 | |
| 13 | 15.07.2020 | — | ||
| 14 | 21.07.2020 | PW6: Special topic presentations |
Readings material
[PK] Koehn, Philipp (2012). Statistical machine translation. Cambridge.
[PK-nmt] Appendix chapter on neural machine translation
Additional material distributed in the course
Examination
Passing the course
The following aspects are needed to pass the course:
- Participation
- Hands-on assignments (PW sessions)
- Seminar presentation on special topic in MT, details here.
Module grade
In order to obtain a grade for the module, the following aspects are needed:
- (Pass the course)
- Project development & report (details in class)