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Found 15 papers, 7 papers with code
Extending the MuST-C Corpus for a Comparative Evaluation of Speech Translation Technology
This project aimed at extending the test sets of the MuST-C speech translation (ST) corpus with new reference translations.
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages
This paper presents the findings of the LoResMT 2020 Shared Task on zero-shot translation for low resource languages.
Post-editing in Automatic Subtitling: A Subtitlers’ perspective
Subtitling tools are recently being adapted for post-editing by providing automatically generated subtitles, and featuring not only machine translation, but also automatic segmentation and synchronisation.
Towards a methodology for evaluating automatic subtitling
In response to the increasing interest towards automatic subtitling, this EAMT-funded project aimed at collecting subtitle post-editing data in a real use case scenario where professional subtitlers edit automatically generated subtitles.
Direct Speech Translation for Automatic Subtitling
Automatic subtitling is the task of automatically translating the speech of audiovisual content into short pieces of timed text, i. e. subtitles and their corresponding timestamps.
Dodging the Data Bottleneck: Automatic Subtitling with Automatically Segmented ST Corpora
Speech translation for subtitling (SubST) is the task of automatically translating speech data into well-formed subtitles by inserting subtitle breaks compliant to specific displaying guidelines.
Evaluating Subtitle Segmentation for End-to-end Generation Systems
Subtitle segmentation can be evaluated with sequence segmentation metrics against a human reference.
Simultaneous Speech Translation for Live Subtitling: from Delay to Display
Experiments on three language pairs (en$\rightarrow$it, de, fr) show that scrolling lines is the only mode achieving an acceptable reading speed while keeping delay close to a 4-second threshold.
Between Flexibility and Consistency: Joint Generation of Captions and Subtitles
Speech translation (ST) has lately received growing interest for the generation of subtitles without the need for an intermediate source language transcription and timing (i. e. captions).
Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?
Five years after the first published proofs of concept, direct approaches to speech translation (ST) are now competing with traditional cascade solutions.
The Two Shades of Dubbing in Neural Machine Translation
Dubbing has two shades; synchronisation constraints are applied only when the actor{'}s mouth is visible on screen, while the translation is unconstrained for off-screen dubbing.
Is 42 the Answer to Everything in Subtitling-oriented Speech Translation?
Subtitling is becoming increasingly important for disseminating information, given the enormous amounts of audiovisual content becoming available daily.
MuST-Cinema: a Speech-to-Subtitles corpus
Growing needs in localising audiovisual content in multiple languages through subtitles call for the development of automatic solutions for human subtitling.
Adapting Multilingual Neural Machine Translation to Unseen Languages
In order to improve NMT for LRL, we employ perplexity to select HRL data that are most similar to the LRL on the basis of language distance.
