CmpE 590 Sp.Tp. Machine Translation 2017 Spring


Course Schedule: 

TTT 678 BM B5 | BM B5 | BM B5


Course Program: 

Overview, History of MT, Basic concepts (Arnold, Chp.1; Koehn, Chp.1)
Basic definitions, Rule-based approaches, An MT scenario (Hutchins, Chp.1.2; Hutchins, Chp.4.1-4.3; Arnold, Chp.2)
Example translations (Direct, Transfer, Interlingua) (Hutchins, Chp.6.4-6.7)
Statistical MT
Word-based translation (Koehn, Chp.4)
IBM models (Koehn, Chp.4)
Phrase-based translation (Koehn, Chp.5)
Decoding (Koehn, Chp.6)
Language models (Koehn, Chp.7)
Example-based MT (Trujillo, Chp.8.1)
MT evaluation and quality (Trujillo, Chp.10; Arnold, Chp.9; Koehn, Chp.8)
Paper presentations

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


Midterm % 25
Readings % 15
Application Project % 15
Research Project % 15
Final % 30


  • 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.

Contact us

Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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