FACILE

Dec 1, 1995 | Projects

1 December 1995 to 30 November 1997 - PROJECT CLOSED

The FACILE project aimed at the development of a system for the categorisation of texts from the area of finance and business news in an exact and specific way. The intended users of the system were institutions from finance and commerce that have a vital interest in up-to-date business information stemming from online news agencies and periodicals. An important consideration in FACILE has been its use across country and language borders. The possibility to process texts in various languages and to derive factual information in a language independent, formatted form allowed for the rapid dissemination of information across borders.

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#MachineTranslation Research Unit @FBK_research. #nlproc #deeplearning #ai

Avatar MT Group at FBK @fbk_mt ·

2 Aug

Heading home after an exciting and intense @aclmeeting in Vienna! We had a great time presenting our work and connecting with the community.

Thanks to everyone who came by!

#acl2025 #nlproc
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Avatar Maike Züfle @maikezufle ·

26 Jul

🇦🇹 I’ll be in Vienna for #ACL2025NLP!

Interested in training a SpeechLLM without a lot of params or data? Come to my poster:
🖼️ Mon, 18:00

Also into Speech Summarization? Join my IWSLT talk in collab with @fbk_mt:
🎤 Fri, 14:00

Happy to chat - come say hi! 😎
Papers in 🧵

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Avatar arXiv Sound @arxivsound ·

30 Jul

Sara Papi, Maike Z\"ufle, Marco Gaido, Beatrice Savoldi, Danni Liu, Ioannis Douros, Luisa Bentivogli, Jan Niehues, "MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks,"

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Avatar MT Group at FBK @fbk_mt ·

16 Jul

Our pick of the week by @mgaido91: "WhisperKit: On-device Real-time ASR with Billion-Scale Transformers" by Atila Orhon, Arda Okan, Berkin Durmus, @zachnagengast, and Eduardo Pacheco (ICML 2025)

#speech #speechtech #whisper #ASR #realtime

Marco Gaido @mgaido91

A couple of weeks before presenting our large-scale speech model compression task at IWSLT, here there is of the first attempts to bring large-scale models to the devices on the edge: https://arxiv.org/pdf/2507.10860... Hope to see more works along this direction!

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