Statistical Machine Translation
Dublin City University
Area of Study
Computer Info Systems, Computer Science, Statistics
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units5
Hours & Credits
This course introduces the fundamentals of statistical machine translation.
1. Discuss the challenges associated with machine translation
2. Explain the noisy channel model underpinning statistical machine translation
3. Demonstrate how a statistical translation model can be inferred from a parallel corpus of texts using unsupervised machine learning techniques
4. Explain the concept of statistical language modelling and how it fits in to the basic SMT architecture
5. Explain the concept of decoding and be in a position to implement a beam decoder
6. Evaluate a statistical machine translation system using at least one automatic metric
7. Demonstrate a knowledge of the state-of-the-art in statistical machine translation
8. Train, test and evaluate MT systems using the open-source Moses toolkit
9. Implement a language modeller (including smoothing) and a basic word aligner
Courses and course hours of instruction are subject to change.
Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.
ECTS (European Credit Transfer and Accumulation System) credits are converted to semester credits/quarter units differently among U.S. universities. Students should confirm the conversion scale used at their home university when determining credit transfer.
Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.