Training a Sentence-Level Machine Translation Confidence Measure
10895Authors
nan
Abstract
AbstractWe present a supervised method for training a sentence level confidence measure on translation output using a human-annotated corpus. We evaluate a variety of machine learning methods. The resultant measure, while trained on a very small dataset, correlates well with human judgments, and proves to be effective on one task based evaluation. Although the experiments have only been run on one MT system, we believe the nature of the features gathered are general enough that the approach will also work well on other systems.
Keywords
Full Content
nan
Labeled Text
AbstractWe present a supervised method for training a sentence level confidence measure on translation output using a human-annotated corpus. We evaluate a variety of machine learning methods. The resultant measure, while trained on a very small dataset, correlates well with human judgments, and proves to be effective on one task based evaluation. Although the experiments have only been run on one MT system, we believe the nature of the features gathered are general enough that the approach will also work well on other systems.
Publication Details
- Paper ID:
- 10895
- Year:
- 2004
- Publication:
- TIPSTER
- Publication Type:
- conf
- DOI:
- nan