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.

MT Group at FBK Follow

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

MT Group at FBK @fbk_mt ·

14 Feb

Our pick of the week by @mgaido91: "AlignFormer: Modality Matching Can Achieve Better Zero-shot Instruction-Following Speech-LLM" by @RuchaoFan, Bo Ren, Yuxuan Hu, Rui Zhao, Shujie Liu, Jinyu Li (2024).

#NLProc #Speech #instructionfollowing #zeroshot #speechtech #speechllm

Reply on Twitter 1890344878254567866 Retweet on Twitter 1890344878254567866 Like on Twitter 1890344878254567866 7 Twitter 1890344878254567866

Retweet on Twitter MT Group at FBK Retweeted

AI4Culture @ai4culture ·

12 Feb

AI is transforming cultural heritage, but what have we learned?

Come and join the #AI4Culture movement at our Final Conference on March 10 in Hilversum to explore AI’s current & future impact on cultural heritage.

Details & Registration: https://pretix.eu/EFHA/AI4Culture/

@EU_HaDEA

Reply on Twitter 1889598279681208432 Retweet on Twitter 1889598279681208432 6 Like on Twitter 1889598279681208432 9 Twitter 1889598279681208432

Retweet on Twitter MT Group at FBK Retweeted

Marta R. Costa-jussa @costajussamarta ·

8 Feb

BOUQuET💐: an OPEN INITIATIVE aimed at building an evaluation dataset for massively multilingual text-to-text MT.

Let’s make MT available for any written language!

We are inviting everyone to contribute: ➡️

More details at: https://arxiv.org/abs/2502.04314

Reply on Twitter 1888192969867407636 Retweet on Twitter 1888192969867407636 6 Like on Twitter 1888192969867407636 24 Twitter 1888192969867407636

Retweet on Twitter MT Group at FBK Retweeted

Sara Papi @sarapapi ·

4 Feb

I am happy to announce that I will speak about our recent work "How "Real" is Your Real-Time Simultaneous Speech-to-Text Translation System?" at the SlatorCon in March 🎊

📃 Preprint available here:

Reply on Twitter 1886802878037147890 Retweet on Twitter 1886802878037147890 3 Like on Twitter 1886802878037147890 23 Twitter 1886802878037147890