Quality Estimation via Backtranslation at the WMT 2022 Quality Estimation Task
- Award ID(s):
- 2147292
- PAR ID:
- 10401345
- Date Published:
- Journal Name:
- Proceedings of the Seventh Conference on Machine Translation (WMT)
- Page Range / eLocation ID:
- 593–596
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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In this communication, we propose a technique to enhance the quality of images obtained from holographic microwave imaging. It is based on estimating the electrical properties of the background medium. To accomplish that, background properties to be estimated are assumed to be within a pre-known range. Then, two sets of frequencies are employed in wideband holographic imaging and images are reconstructed from each set and for assumed property values within the pre-determined range. An error is calculated according to the differences between the two sets of images. The error is expected to be minimum at the true values of the background medium’s properties. The estimated properties, in turn, are used to reconstruct images with the best quality. The validity of the proposed technique is demonstrated via simulation and experimental results.more » « less
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