Statistical Machine Translation
German versionCourse description
| Studiengang | Modulkürzel | Leistungs- bewertung |
|---|---|---|
| BA-2010 | AS-CL | 8 LP |
| NBA | AS-CL | 8 LP |
| Master | SS-CL, SS-TAC | 8 LP |
| Magister | - | - |
| ÜK | - | 4 LP |
| Instructors | Stefan Riezler, Laura Jehl |
| Course type | Lecture/tutorial |
| First session | 25.10.2012 (First tutorial: 31.10.) |
| Time and place | Wed, 16:15–17:45, INF 325 / SR 23 (SR) |
| Thu, 11:15–12:45, INF 327 / SR 5 (SR) | |
| Commitment deadline | 6th December – 30th January |
Prerequisites
Basics of probability theory and linear algebra, e.g. from "Statistical Methods" or a basic course in mathematics.
Assessment
- Regular attendance at lectures and tutorial sessions
- Weekly tutorial exercises
- Final exam
Contents of the course
The course will introduce the main concepts of statistical machine translation. Possible lecture topics include:
- Alignment
- Word-based models
- Phrase-based models
- Syntax-based models
- Decoding
- Language modelling
- Evaluation
Course overview
Syllabus
| Date | Session | Materials |
Literature
The course will mainly follow
- Koehn (2010). Statistical Machine Translation . Cambridge. Link: http://www.statmt.org/book/
