  We present 27 problems encountered in automating the translation of movie/TV
show subtitles. We categorize each problem in one of the three categories viz.
problems directly related to textual translation, problems related to subtitle
creation guidelines, and problems due to adaptability of machine translation
(MT) engines. We also present the findings of a translation quality evaluation
experiment where we share the frequency of 16 key problems. We show that the
systems working at the frontiers of Natural Language Processing do not perform
well for subtitles and require some post-processing solutions for redressal of
these problems
