David Vilar

[Google AI Developers @googleaidevs]

🗣 Introducing TranslateGemma, our new collection of open translation models built on Gemma 3.

The model is available in 4B, 12B, and 27B parameter sizes, and furthers communication across languages, no matter what device you own. https://t.co/dniQD3RPKP

[NAACL HLT 2027 @naaclmeeting]

📢 NAACL needs Reviewers & Area Chairs! 📝

If you haven't received an invite for ARR Oct 2024 & want to contribute, sign up by Oct 22nd!

➡️AC form: https://t.co/4KSWkEfxoO
➡️Reviewer form: https://t.co/3DqVNOSGXF

Please RT 🔁 and help spread the word! 🗣️

#NLProc @ReviewAcl

[Dan Deutsch @_danieldeutsch]

Interested in doing research on Google Translate and Gemini? Good news! I’m hiring for full-time roles on the Google Translate Research Team! Apply here: https://t.co/RCojsAMYFD

[Mara Finkelstein @marafinkels]

🥳 LLMs are changing the game, even for datasets! NewsPaLM, a publicly released LLM-generated dataset, outperforms larger web-crawled corpora for MT. It includes sentence & paragraph-level, MBR-decoded data. See paper for more, incl. LLM self-distillation. https://t.co/iqtiGD2gE1

[iseeaswell꩜bʂky @iseeaswell]

Excited to announce that 110 languages got added to Google Translate today! Time for context on these languages, especially the communities who helped a lot over the past few years, including Cantonese, NKo, and Faroese volunteers. Also, a 110-language youtube playlist. 🧵

[Markus Freitag @markuseful]

New paper alert!

Designing reliable human evaluation is both crucial and difficult. Human raters can exhibit different behaviors when rating NLG outputs. These differences are not generally due to a rater performing the task incorrectly, but rather due to differences in harshness or leniency between raters: a Minor error to one rater may be a Major error to another. Consequently, decisions around which raters rate which items can alter the final system ranking.

In our new paper, we analyse the impact of rater assignment on the final system ranking and show how you can design a replicable, reliable human evaluation by assigning the right raters to the right items.

Take a look: https://t.co/2iOf5AaPvd

[Markus Freitag @markuseful]

Exciting News! Introducing our new Quality-Aware Machine Translation model!

🚀 100x faster MBR decoding
🔝 Improved translation quality
🧠 Self-evaluation and guidance for top-notch translations

Take a look: https://t.co/Mw781oRAYD

[Dan Deutsch @_danieldeutsch]

@davvil_dvt, @iseeaswell, Jan-Thorsten Peter, and I will be at the Google Booth right after the keynote this morning. Stop by to learn about the research the Google Translate team is doing!