Advanced study in current theories of syntax, semantics, phonology, or morphology. Can be repeated for credit.
In this seminar, we will discuss important papers on machine translation, and focus on statistical MT, transfer-based MT, and hybrid approaches. Students will gain hands-on experience by experimenting with various methods to improve a phrase-based SMT system.
Student learning goals
General method of instruction
Prerequisites: LING 570 and LING 571 Stat 391 (Prob. and Stats for CS) or equivalent Programming in C/C++. Knowing Perl is a plus.
Class assignments and grading