Marcello Federico

Researcher in human language technologies

[Marcello Federico @marcfede]

My team is hiring Applied Science interns for summer 2023! If you are a Masters or PhD student with research experience in machine translation of speech and text, apply now to our job posting!
Master students: https://t.co/kRfCmIs7WP
Phd students: https://t.co/33tGVYtkmL

[Marcello Federico @marcfede]

Father of the Internet warns: Don't rush investments into chatbot A.I. - CNBC https://t.co/OIN41alvqE

[IWSLT @iwslt]

There will be a Special Session at INTERSPEECH 2023 on "New paradigms for simultaneous speech translation leveraging paralinguistic and linguistic knowledge."

Please share broadly for a great & multi-disciplinary meeting!

🗓 Deadline: Mar 1
🔗 More info: https://t.co/rrk4aZMr1w

[Dr. Gökhan Doğru @gkhn_dgr]

Day 2 @NeTTTconference has started with the keynote of Marcello Federico: Machine Translation using Context Information #NeTTT2022

[IWSLT @iwslt]

Seeking shared task proposals for IWSLT 2023!
Next year will mark IWSLT's 20th edition. We invite proposals for new and continuing shared tasks in all aspects of speech translation. For more info, see below:

🔗 Call: https://t.co/t7Yov3om2v
🗓 Deadline: Aug 31, 2022

[Marcello Federico @marcfede]

Proceedings of @iwslt 2022 are not online! https://t.co/2EMeDpCbAS

[Marcello Federico @marcfede]

We just published the list of papers accepted at @iwslt 2022 https://t.co/TJPXKQTt4L

[Marcello Federico @marcfede]

Glad to announce our Keynote Speaker at @iwslt 2022 https://t.co/JsIW1bGs5Z

[Elizabeth Salesky @esalesk]

📢 Shared task announcement:
@iwslt is running its first task on speech-to-speech translation this year!

The task extends the MuST-C dataset with synthesized target speech for parallel S2S data.
Interested in speech translation? Consider participating!
https://t.co/Zekfer0Zgb

[Marcello Federico @marcfede]

We have internship openings for 2022! https://t.co/ib6I6SyOi0

[Marcello Federico @marcfede]

@iwslt @aclmeeting I'm glad to open the IWSLT 2021 conference with Alex Waibel! We are also excited to introduce our keynote: a fireside chat with Velchamy Sankarlingam, (President of product and Engineering at Zoom). All ACL-IJCNLP participants are welcome to join us!

[Marcello Federico @marcfede]

Our NAACL 2021 paper on modeling translation style with neural MT is now available online: https://t.co/XdRAi5MuTF #AmazonScience.

[Marcello Federico @marcfede]

@mjpost I'm an avid cyclist and tend to always acknowledge other riders, and always get response. I find it very natural, we all share the same passion. And when I stop for some reason, most of the times someone riding by just asks if I'm ok.

[CLEAR Global @CLEARGlobalOrg]

We continue to expand our #COVID19 glossary. Now available in 42 languages from Arabic to Zulu: our glossary helps support clear, consistent public information. https://t.co/Xh8u0AoaCr

[Marcello Federico @marcfede]

Nice write up @mdigangiPA and best wishes for your new job!

[Marcello Federico @marcfede]

Glad to share our new Interspeech paper on automatic speech dubbing #AmazonScience https://t.co/DbynstNld4

[CLEAR Global @CLEARGlobalOrg]

Not everybody speaks a lingua franca like English, French, or Arabic. Use this map to learn where people need multilingual information in response to COVID-19. #WeSpeakCOVID19 https://t.co/YjSi46F91R

[Will Lewis @wildlewis_will]

The Translation Initiative for COVID-19 (TICO-19): Translation industry players working together to create and share language resources for Covid-19. This was an amazing collaboration.

[Marcello Federico @marcfede]

Proud to be part of this project.

[CLEAR Global @CLEARGlobalOrg]

We've joined the Translation Initiative for COVID-19 (TICO-19), which is focused on using language technology to make COVID-19 information available in as many languages as possible. Learn more: https://t.co/YH44inSCLH

[Rada Mihalcea @radamihalcea]

Inspiring #ACL2020 keynote by Kathy McKeown.

My key takeaways:
- bring language back to NLP
- address tasks that really matter
- analyze your input data & your output
- go back to models that do well on one task

Above all, “when they go north, we go south” —find your own path!