Machine Translation

This is a specialized course in Machine Translation and its recent developments. Students will be presented with the basic concept of Machine Translation and the main problems in creating a working system with appropriate performance.   A history of Machine Translation development will be presented, the recent developments in the field will be described, and the current key challenges will be shown. The most important paradigms will be discussed, including SMT (statistical machine translation), and NMT (Neural Machine Translation). Student involvement will include practical exercises including the development of an MT system from start (collection of training data) to finish (training and evaluation of the system).

INSTRUCTOR

giorg_tatathenarc [dot] gr (George Tambouratzis)
s_sofianatathenarc [dot] gr (Socratis Sofianopoulos)

COURSE DESCRIPTION:
COURSE CODE
C18
SEMESTER
Fall
COURSE TYPE
Postgraduate (PG)
ECTS
6