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Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation
[article]
2020
arXiv
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We also show how to use the resulting corpora in a multistage fine-tuning based domain adaptation for high-quality lectures translation. ...
To address this, we examine a language independent framework for parallel corpus mining which is a quick and effective way to mine a parallel corpus from publicly available lectures at Coursera. ...
A part of this work was conducted under the program "Research and Development of Enhanced Multilingual and Multipurpose Speech Translation System" of the Ministry of Internal Affairs and Communications ...
arXiv:1912.11739v2
fatcat:6uscledetnaovgz5lqjmwnduia
Dagstuhl Reports, Volume 11, Issue 7, August 2021, Complete Issue
[article]
2021
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
For this, it is important to consider both domain expert knowledge and model expert knowledge. Another interesting question is the interplay of different higher-order dimensions. ...
This call for more research on the combination of different higher-order model facets. ...
(to give a lecture) and LVC.semi (grant rights). ...
doi:10.4230/dagrep.11.7
fatcat:4b73kynisffo7payzzghe5rfiq