Abstract
We attempt to develop a general theory of robust processing for natural language, and especially Machine Translation purposes. That is, a general characterization of methods by which processes can be made resistant to malfunctioning of various kinds. We distinguish three sources of malfunction: (a) deviant inputs, (b) deviant outputs, and (c) deviant pairings of input and output, and describe the assumptions that guide our discussion (sections 1 and 2). We classify existing approaches to (a)and (b)-robustness, noting that not only do such approaches fail to provide a solution to (c)-type problems, but that the natural consequence of these solutions is to make (c)-type malfunctions harder to detect (section 3) In the final section (4) we outline possible solutions to (c)-type malfunctions.- Anthology ID:
- 1984.bcs-1.25
- Volume:
- Proceedings of the International Conference on Methodology and Techniques of Machine Translation: Processing from words to language
- Month:
- February 13-15
- Year:
- 1984
- Address:
- Cranfield University, UK
- Venue:
- BCS
- SIG:
- Publisher:
- Note:
- Pages:
- Language:
- URL:
- https://aclanthology.org/1984.bcs-1.25
- DOI:
- Cite (ACL):
- Doug Arnold and Rod Johnson. 1984. Robust processing in machine translation. In Proceedings of the International Conference on Methodology and Techniques of Machine Translation: Processing from words to language, Cranfield University, UK.
- Cite (Informal):
- Robust processing in machine translation (Arnold & Johnson, BCS 1984)
- PDF:
- https://preview.aclanthology.org/nodalida-main-page/1984.bcs-1.25.pdf