Statistical Machine Translation

Dublin City University

Course Description

  • Course Name

    Statistical Machine Translation

  • Host University

    Dublin City University

  • Location

    Dublin, Ireland

  • Area of Study

    Computer Info Systems, Computer Science, Statistics

  • Language Level

    Taught In English

  • Course Level Recommendations

    Upper

    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.

    Hours & Credits

  • ECTS Credits

    7.5
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    5
  • Overview

    Description
    This course introduces the fundamentals of statistical machine translation.

    Learning Outcomes
    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