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      Problems with automating translation of movie/TV show subtitles

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          Abstract

          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

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          Unsupervised Quality Estimation Without Reference Corpus for Subtitle Machine Translation Using Word Embeddings

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            Some theories concerning stuttering and stammering

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              Context and Copying in Neural Machine Translation

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                Author and article information

                Journal
                04 September 2019
                Article
                1909.05362
                d1957a27-f70f-4abf-90ce-a46eaac4b7c4

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Custom metadata
                cs.CL cs.LG stat.ML

                Theoretical computer science,Machine learning,Artificial intelligence
                Theoretical computer science, Machine learning, Artificial intelligence

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