Abstract
This paper describes a graduate-level machine translation (MT) course taught at the Language Technologies Institute at Carnegie Mellon University. Most of the students in the course have a background in computer science. We discuss what we teach (the course syllabus), and how we teach it (lectures, homeworks, and projects). The course has evolved steadily over the past several years to incorporate refinements in the set of course topics, how they are taught, and how students “learn by doing”. The course syllabus has also evolved in response to changes in the field of MT and the role that MT plays in various social contexts.- Anthology ID:
- 2003.mtsummit-tttt.4
- Volume:
- Workshop on Teaching Translation Technologies and Tools
- Month:
- September 23-27
- Year:
- 2003
- Address:
- New Orleans, USA
- Venue:
- MTSummit
- SIG:
- Publisher:
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/2003.mtsummit-tttt.4
- DOI:
- Cite (ACL):
- Teruko Mitamura, Eric Nyberg, and Robert Frederking. 2003. Teaching machine translation in a graduate language technologies program. In Workshop on Teaching Translation Technologies and Tools, New Orleans, USA.
- Cite (Informal):
- Teaching machine translation in a graduate language technologies program (Mitamura et al., MTSummit 2003)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/2003.mtsummit-tttt.4.pdf