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SubER - A Metric for Automatic Evaluation of Subtitle Quality
This paper addresses the problem of evaluating the quality of automatically generated subtitles, which includes not only the quality of the machine-transcribed or translated speech, but also the quality of line segmentation and subtitle timing.
SubER: A Metric for Automatic Evaluation of Subtitle Quality
This paper addresses the problem of evaluating the quality of automatically generated subtitles, which includes not only the quality of the machine-transcribed or translated speech, but also the quality of line segmentation and subtitle timing.
Machine Translation for Subtitling: A Large-Scale Evaluation
This article describes a large-scale evaluation of the use of Statistical Machine Translation for professional subtitling.
SUMAT: Data Collection and Parallel Corpus Compilation for Machine Translation of Subtitles
Subtitling and audiovisual translation have been recognized as areas that could greatly benefit from the introduction of Statistical Machine Translation (SMT) followed by post-editing, in order to increase efficiency of subtitle production process.
