COS401/TRA301 - Introduction to Machine Translation

Spring 2009

by Srinivas Bangalore

Course home Syllabus and lecture notes Blackboard

Week Topics Lecture Slides Reading Assignment
1 Introduction to Machine Translation
Need for Machine Translation
Strengths and limitations of Machine Translation
Historical Perspectives on Machine Translation
Paradigms of Machine Translation
Prototypes of MT systems
Introduction
FSA and Morphology
 
2 Morphology
Finite State Transducers
Parts of Speech Tagging
FSTs & POS tagging
FST tutorial
(JM) Chapters 3 and 5
3 Language Models
N-grams
Language Models (JM) Chapters 5 and 6
4 Formal Grammars of English
Syntactic Parsing
  (JM) Chapters 12 and 13.
(JM) Chapter 4.

 

Reading List:

  1. (NSW) Readings in Machine Translation, S. Nirenberg, H. Somers and Y. Wilks, MIT Press, 2002
  2. (AT) Translation Engines: Techniques for Machine Translation, Arturo Trujillo, Springer 1999
  3. (JM) Speech and Language Processing, Jurafsky and Martin, Prentice Hall
  4. (HS) An introduction to machine translation, W.John Hutchins and Harold L. Somers, London: Academic Press, 1992.
  5. (CW) Recent Advances in Example-Based Machine Translation (Text, Speech and Language Technology), Carl and Way, Kluwer Academic Publishers, 2003
  6. (Dorr 1994) Dorr, Bonnie J., "Machine Translation Divergences: A Formal Description and Proposed Solution," Computational Linguistics, 20:4, pp. 597--633
  7. (Brown et al, 1993) "The Mathematics of Statisti-cal Machine Translation: Parameter Estimation", P. Brown, S. Della Pietra, V. Della Pietra, R. Mercer. Computational Linguistics, 19(2).
  8. Research papers on Machine Translation from recent conferences.




Last updated: $Date: 2009/02/20 23:10:28 $ (GMT+0:00)