Matesub: The Translated Subtitling Tool at the IWSLT 2023 Subtitling Task (2023)

Abstract: This paper briefly describes Matesub, the subtitling tool Translated used to participate in the Subtitling shared task at IWSLT 2023. Matesub is a professional web-based tool that combines state-of-the-art AI with a WYSIWYG editor. The automatic generation of subtitles in Matesub is based on a cascade architecture, composed of ASR, text segmenter and MT neural models, which allows covering any pair from about 70 languages and their variants.

## submission and results translated participated in the subtitling shared task at iwslt 2023 with the back-end subtitling pipeline of matesub. no adaptation of the general purpose pipeline was carried out, therefore the quality of subtitles generated for the audio-visual documents proposed in the shared task is that typically expected by the in-production system before the post-editing stage. since neural models of matesub (asr, text segmenter and mt) were trained on more resources than those allowed for the constrained condition, we labelled our submission as unconstrained; it was also our unique submission, and as such it is the primary run. without knowing the results of the other submissions, it is hard to judge the results obtained. however, some considerations can be made: