A new corpus containing product-, process- and participant-based data from post-editing automatic subtitles in two language pairs, namely English-German and English-Italian. The data edited by the subtitlers comes from the MuST-Cinema test set, a speech subtitling corpus which contains English single-speaker talks, amounting to 1 hour of video (545 sentences/10k words).
COMING SOON!
Our pick of the week by @DennisFucci: "Encoding of lexical tone in self-supervised models of spoken language" by @linguisticshen, @Phonologician
@afraalishahi, @AriannaBisazza, and @gchrupala, NAACL 2024.
#Speech #SpokenLanguageModels #ToneEncoding #Interpretability #Phonology
⏳Hurry up! Only 4 days left to apply for a PhD position on “Resource-efficient Foundation Models for Automatic Translation” (A10). Don't miss this opportunity!
📅 Deadline: May 7, 4pm (CEST)
👉Info: https://iecs.unitn.it/education/admission/call-for-application
#PhD #NLProc
Last on our power panel: none other than @HelenaMoniz5 🤩 President of @EAMTee and the International Association of Machine Translation. Currently Chair of the Ethics Committee of the Center for Responsible AI (https://centerforresponsible.ai/) with @Unbabel You don't want to miss this!
Our pick of the week by @beomseok_lee_: "UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions" by @Sid_Arora_18, @emonosuke, @pengyf21, @RoshanSSharma2, @shinjiw_at_cmu, et al., 2024.
#SLU #languageunderstanding #speech
