Course Program:
Reference Books:
Text Books:
- An Introduction to Machine Translation, W.J.Hutchins, H.L.Somers, Academic Press, 1992
- Translation Engines: Techniques for Machine Translation, A.Trujillo, Springer Verlag, 1999
- Machine Translation: An Introductory Guide, D.Arnold, L.Balkan, S.Meijer, R.L.Humphreys, L.Sadler, Blackwell Pub., 2001
- Statistical Machine Translation, P. Koehn, Cambridge Unv. Press, 2010
Reference Books:
- Recent Advances in Example-Based Machine Translation, M.Carl, A.Way (eds.), Kluwer Academic Pub., 2003
- New Statistical and Syntactic Models for Machine Translation, M.Khalilov, J.A.R.Fonollosa, VDM Pub., 2010
- Learning Machine Translation, C.Goutte, N.Cancedda, M.Dymetman, G.Foster (eds.), MIT, 2009
- Handbook of Natural Language Processing and Machine Translation, J.Olive, C.Christianson, J.McCary (eds.), Springer, 2011
- Readings in Machine Translation, S.Nirenburg, H.Somers, Y.Wilks (eds.), MIT, 2003
- Language Modeling For Machine Translation, M.Raab, VDM Verlag, 2007
Grading:
| Midterm | % 25 |
| Readings | % 15 |
| Application Project | % 15 |
| Research Project | % 15 |
| Final | % 30 |
Notes:
- Several reading papers will be assigned during the course. A 3-4 pages long summary of each paper will be delivered on the week following the assignment.
- An application project will be assigned.
- A research project about an MT topic will be prepared. The project will be presented during the final lecture hours.
- The midterm and final exams will be “closed books and notes”.
- You can follow the announcements from the course web site.
- You can obtain some of the course materials from the instructor.
- Please read the section “graduate courses” in the web page General Information for Students. This page explains the course policy, the grading system, and information about the assignments and projects.
Announcements:
- Letter grades were announced. The letter grades were given according to the catalogue grading system by shifting down (http://www.cmpe.boun.edu.tr/~gungort/informationstudents.htm). (08.06.2017)
- Application Project grades were announced. Any objections are welcome until 06.06.2017 17:00. (06.06.2017)
- Research Project grades were announced. Any objections are welcome until 06.06.2017 17:00. (06.06.2017)
- Reading grades were announced. Any objections are welcome until 06.06.2017 17:00. (06.06.2017)
- Final grades were announced. The papers can be seen at any time between 24.05.2017 and 30.05.217. (24.05.2017)
- Final questions and answers were announced. (22.05.2017)
- Midterm grades were announced. The papers can be seen at any time between 08.05.2017 and 12.05.2017. (02.05.2017)
- The strict deadline for Research Project submission is 01.05.2017 24:00. Each person will make a 30-minutes presentation. The presentation dates and presentation order were announced in the Research Project Submissions document. In addition to the report and the references, you must submit a Presentation (Power Point or pdf) (both as hard-copy and via e-mail) until the deadline. Attendance to all the presentations is mandatory. (25.04.2017)
- Deadline for Reading 8: 02.05.2017, for Reading 9: 09.05.2017, for Readings 10,11: 22.05.2017. (25.04.2017)
- Deadline for Reading 7: 18.04.2017. (11.04.2017)
- Deadline for Reading 6: 14.04.2017. (04.04.2017)
- Application project was announced. (27.03.2017)
- Deadline for Reading 5: 04.04.2017. (21.03.2017)
- Deadline for Reading 4: 21.03.2017. (14.03.2017)
- Deadline for Reading 3: 07.03.2017. (28.02.2017)
- The midterm will be held on 28.03.2017 during lecture hours. (21.02.2017)
- Deadline for Reading 2: 28.02.2017. (21.02.2017)
- Deadline for Reading 1 (except Appendices): 21.02.2017. (07.02.2017)
- Submission of a Reading involves both of the following: i) Submission as hard-copy, ii) Submission as a file named as Readingnn_NameSurname (e.g. Reading01_TungaGungor) via e-mail. Both parts must be completed until the deadline. (03.02.2017)
- Please read the section "graduate courses" in the web page General Information for Students. This page explains the course policy, the grading system, and information about the assignments and projects. (03.02.2017)
