NESPOLE! System has been developed using two scenarios: the tourism scenario and the first aid medical assistance scenario. During the project life three main data collection have been carried on in order to develop the first and the second showcase. During the first year 191 dialogues have been collected. There are 62 German dialogues recorded, 61 Italian, 37 English and 31 French. Particularly an amount of 6 hours of dialogues for Italian and French, 7 hours for English, 8 hours for German has been recorded. Dialogues were about five predefined tourism scenarios. During the last year two major data collections have been carried on: the first one aimed at expanding the tourism scenario and the second one at addressing the medical domain. For the monolingual data collection five tourism scenarios were developed; 66 dialogues were recorded yielding 994.57 minutes of data: 243.52 minutes comprised in sixteen English dialogues, 246 minutes in sixteen German dialogues, 272.52 minutes in seventeen French dialogues and 232.53 minutes in seventeen Italian dialogues. The data collection on the medical domain involved Italian, English and German languages. A total of 49 dialogues were collected. The recording results in a total of 8 hours 25 minutes of audio files.
The 22nd edition of IWSLT will be co-located with @aclmeeting in Vienna, Austria on 31 July-1 Aug 2025!
Stay tuned for the CFP and more info about our 2025 shared tasks! Join our google group for periodic updates.
In "Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps," @BeatriceSavoldi, @DennisFucci, @dirk_hovy, and I show how speech recognition serves different gender groups differently and what to do about it.
Meet @sarapapi, @BeatriceSavoldi, and @negri_teo at EMNLP 2024 in Miami next week! 🌴
They will present two main conference papers about human-centered #MT and #genderbias, and #opensource #speech resources!
📍 Details here: https://mt.fbk.eu/our-postdocs-sara-papi-and-beatrice-savoldi-and-our-researcher-matteo-negri-at-emnlp-2024/
#NLProc #EMNLP2024
Weekly pick from the #MeetweenScientificWatch: "Vcoder: Versatile Vision Encoders for Multimodal LLMs" - A novel encoder boosts object perception in MLLMs, outperforming GPT-4V in visual reasoning! 🌆👀