Abstract
We maintain that the essential feature that characterizes a Machine Translation approach and sets it apart from other approaches is the kind of knowledge it uses. From this perspective, we argue that Example-Based Machine Translation is sometimes characterized in terms of inessential features. We show that Example-Based Machine Translation, as long as it is linguistically principled, significantly overlaps with other linguistically principled approaches to Machine Translation. We make a proposal for translation knowledge bases that make such an overlap explicit.- Anthology ID:
- 2001.mtsummit-ebmt.7
- Volume:
- Workshop on Example-Based machine Translation
- Month:
- September 18-22
- Year:
- 2001
- Address:
- Santiago de Compostela, Spain
- Editors:
- Michael Carl, Andy Way
- Venue:
- MTSummit
- SIG:
- Publisher:
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/2001.mtsummit-ebmt.7
- DOI:
- Cite (ACL):
- Davide Turcato and Fred Popowich. 2001. What is example-based machine translation?. In Workshop on Example-Based machine Translation, Santiago de Compostela, Spain.
- Cite (Informal):
- What is example-based machine translation? (Turcato & Popowich, MTSummit 2001)
- PDF:
- https://preview.aclanthology.org/landing_page/2001.mtsummit-ebmt.7.pdf