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Problems with automating translation of movie/TV show subtitles

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arxiv 1909.05362 v1 pith:LYBRM4BV submitted 2019-09-04 cs.CL cs.LGstat.ML

classification cs.CLcs.LGstat.ML
keywords problemstranslationsubtitlesautomatingmovierelatedadaptabilitycategories
verification ladder T0 review T1 audit T2 compute T3 formal
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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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  1. Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs

    cs.CL 2024-12 reject novelty 4.0 of 10

    CASAT adds session segmentation, retrieval-augmented plot summaries, and style statistics to LLM prompts for context-aware entertainment translation into Indian languages.

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