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Between Flexibility and Consistency: Joint Generation of Captions and Subtitles.

, , , and . IWSLT, page 215-225. Association for Computational Linguistics, (2021)

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Point Break: Surfing Heterogeneous Data for Subtitle Segmentation., , and . CLiC-it, volume 2769 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)The Two Shades of Dubbing in Neural Machine Translation., , , , , and . COLING, page 4327-4333. International Committee on Computational Linguistics, (2020)Extending the MuST-C Corpus for a Comparative Evaluation of Speech Translation Technology., , , , , and . EAMT, page 359-360. European Association for Machine Translation, (2022)Evaluating Subtitle Segmentation for End-to-end Generation Systems., , , and . LREC, page 3069-3078. European Language Resources Association, (2022)Neural machine translation for low-resource languages without parallel corpora., , and . Mach. Transl., 32 (1-2): 167-189 (2018)Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora., , , and . AACL/IJCNLP (2), page 480-487. Association for Computational Linguistics, (2022)Between Flexibility and Consistency: Joint Generation of Captions and Subtitles., , , and . IWSLT, page 215-225. Association for Computational Linguistics, (2021)Post-editing in Automatic Subtitling: A Subtitlers' perspective., , , , and . EAMT, page 259-268. European Association for Machine Translation, (2022)Introduction to the second issue on machine translation for low-resource languages., , , , , , and . Mach. Transl., 35 (1): 1-2 (2021)Introduction to the Special Issue on Machine Translation for Low-Resource Languages., , , , , , and . Mach. Transl., 34 (4): 247-249 (2020)