Robust processing in machine translation

Doug Arnold, Rod Johnson


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
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Note:
Pages:
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URL:
https://aclanthology.org/1984.bcs-1.25
DOI:
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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)
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PDF:
https://aclanthology.org/1984.bcs-1.25.pdf