Confidence measures for statistical machine translation

Nicola Ueffing, Klaus Macherey, Hermann Ney


Abstract
In this paper, we present several confidence measures for (statistical) machine translation. We introduce word posterior probabilities for words in the target sentence that can be determined either on a word graph or on an N best list. Two alternative confidence measures that can be calculated on N best lists are proposed. The performance of the measures is evaluated on two different translation tasks: on spontaneously spoken dialogues from the domain of appointment scheduling, and on a collection of technical manuals.
Anthology ID:
2003.mtsummit-papers.52
Volume:
Proceedings of Machine Translation Summit IX: Papers
Month:
September 23-27
Year:
2003
Address:
New Orleans, USA
Venue:
MTSummit
SIG:
Publisher:
Note:
Pages:
Language:
URL:
https://aclanthology.org/2003.mtsummit-papers.52
DOI:
Bibkey:
Cite (ACL):
Nicola Ueffing, Klaus Macherey, and Hermann Ney. 2003. Confidence measures for statistical machine translation. In Proceedings of Machine Translation Summit IX: Papers, New Orleans, USA.
Cite (Informal):
Confidence measures for statistical machine translation (Ueffing et al., MTSummit 2003)
Copy Citation:
PDF:
https://preview.aclanthology.org/update-css-js/2003.mtsummit-papers.52.pdf