1 Introduction
Table 4: Miss rate on parallel corpora.
['[EMPTY]', '[BOLD] High-quality subs  [BOLD] # sentences', '[BOLD] High-quality subs  [BOLD] FNR', '[BOLD] EuroParl  [BOLD] # sentences', '[BOLD] EuroParl  [BOLD] FNR']
We took a set of high quality subtitles that were translated and validated independently by two sets of distinct human translators. A list of parallel sentences were extracted from them using their timestamp alignment information. These translations that went through two rounds of human audit can safely be assumed to contain no Bad translations. Since data consists only positives constituting of Loose and Good, we use miss rate or false negative rate (FNR) as the performance metric for this experiment. We ran a similar test on public EuroParl data for reference that also has only positives.