Hi, there has been some work on this.
See Section 2.4 in http://www.aclweb.org/anthology/W16-2347 for some references. The main ideas are to look for properties of machine translation - i.e., that is very literal and may have certain systematic errors. This is a hard problem, though. -phi On Thu, Apr 5, 2018 at 10:14 PM, Ryan Coughlin <rya...@sis.edu> wrote: > Hi all, > > Hope you all had a happy Easter and are having a good spring (or autumn). > > One of the admins from Open Subtitles asked me if I knew of a way to > detect if a translation was machine or machine or human translation. The > website seems to have a lot of submissions that are simply Google > translated, and they're looking for a script to flag these submissions. Do > you have any ideas how they might go about this? > > I was thinking of running the SL against a few of the popular SMT > programs, and seeing if the BLEU scores were too similar, but the method > seems too random and computationally heavy. I'd appreciate any thoughts. > > thank you, > Ryan > > _______________________________________________ > Moses-support mailing list > Moses-support@mit.edu > http://mailman.mit.edu/mailman/listinfo/moses-support > >
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