This paper presents a method for compiling a large-scale bilingual corpus from a database of movie subtitles. To create the corpus, we propose an algorithm based on Gale and Church’s sentence alignment algorithm(1993). However, our algorithm not only relies on character length information, but also uses subtitle-timing information, which is encoded in the subtitle files. Timing is highly correl...

Abstract Subtitles are a crucial component of Digital Entertainment Content (DEC such as movies and TV shows) localization. With ever increasing catalog (≈ 2M titles) localization expansion (30+ languages), automated subtitle quality checks becomes paramount. Being manual creation process, subtitles can have errors missing transcriptions, out-of-sync blocks with the audio incorrect translations...