CASAT adds session segmentation, retrieval-augmented plot summaries, and style statistics to LLM prompts for context-aware entertainment translation into Indian languages.
Problems with automating translation of movie/TV show subtitles
1 Pith paper cite this work. Polarity classification is still indexing.
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
fields
cs.CL 1years
2024 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs
CASAT adds session segmentation, retrieval-augmented plot summaries, and style statistics to LLM prompts for context-aware entertainment translation into Indian languages.