Markus Freitag

Head of Google Translate Research

[Markus Freitag @markuseful]

This release represents a huge team effort. So proud of this team! It's a joy to work alongside such brilliant people, and I can't wait to see how the research community uses @TranslateGemma in the future!

#AI #Gemma3

[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

[Eleftheria Briakou @ebriakou]

🎓Completed a PhD on Machine Translation, multilingual, or cross-lingual NLP?

Nominate a standout thesis (or your own!) for the AMTA Best Thesis Award. Winner gets $1000, an invited talk at #AMTA2026 & more.

🗓️ Deadline: 15 May 2026
ℹ️Info: https://t.co/Aa8qlSDfK6
#MT #NLP #PhD

[Google for Developers @googledevs]

Announcing TranslateGemma, a new collection of open translation models built on Gemma 3. Learn more 👇

[Andre Martins @andre_t_martins]

Check out TowerVision, a multilingual multicultural VLM powered by the @sardine_lab_it. Great work led by @Guilherme_PT1 and @psanfernandes! Bonus: TowerVideo, kudos to @Saul_Santos1997!

[Sundar Pichai @sundarpichai]

Every month, people use Google to translate around 1 trillion words. Today, we’re introducing a new AI-powered live translation experience in the Google Translate app, plus a new beta feature to help you practice new languages. Rolling out now on iOS + Android.

[Markus Freitag @markuseful]

#MachineTranslation #LLMs #NLP

[Markus Freitag @markuseful]

Our Google Translate team is bringing a strong presence to #ACL2025 in Vienna this week! 🇦🇹 My group is excited to present several of our latest papers. 👇 Don't miss them!

[Markus Freitag @markuseful]

@_danieldeutsch @yixiao_song @ebriakou @caswell_isaac @marafinkels Rebecca Galor @JurikJuraska @gezakovacs Alison Lui @RicardoRei7 @jasonriesa @shrutirij @prk_riley @esalesk Firas Trabelsi Stephanie Winkler @BZhangGo @mykocyigit @ColinCherry Jiaming Luo @lilyhzhang Hamid Dadkhahi

[Patrick Fernandes @psanfernandes]

MT metrics excel at evaluating sentence translations, but struggle with complex texts

We introduce *TREQA* a framework to assess how translations preserve key info by using LLMs to generate & answer questions about them

https://t.co/aHUScXzoBM

(co-lead @swetaagrawal20)

1/15

[Slator @slatornews]

.@Google and @imperialcollege researchers argue that translation quality can’t be captured 🛑 by a single metric and propose evaluating #AI #translation systems 🤖 on an accuracy-naturalness plane.
#xl8 #t9n #Google @GoogleAI @markuseful
https://t.co/fKljbrD7cZ

[iseeaswell꩜bʂky @iseeaswell]

😼SMOL DATA ALERT! 😼Anouncing SMOL, a professionally-translated dataset for 115 very low-resource languages! Paper: https://t.co/HISmFuKe8I
Huggingface: https://t.co/TPCFw01rh0

[Dan Deutsch @_danieldeutsch]

🚨New machine translation dataset alert! 🚨We expanded the language coverage of WMT24 from 9 to 55 en->xx language pairs by collecting new reference translations for 46 languages in a dataset called WMT24++

Paper: https://t.co/owplgurKHP
Data: https://t.co/ODxHUEq5Xl

[Markus Freitag @markuseful]

https://t.co/bcLov8D9j1

[iseeaswell꩜bʂky @iseeaswell]

😼SMOL DATA ALERT! 😼Anouncing SMOL, a professionally-translated dataset for 115 very low-resource languages! Paper: https://t.co/HISmFuKe8I
Huggingface: https://t.co/TPCFw01rh0

[Markus Freitag @markuseful]

Two new datasets from Google Translate targeting high and low resource languages!

WMT24++: 46 new en->xx languages to WMT24, bringing the total to 55
SMOL: 6M tokens for 115 very low-resource languages

WMT24++: https://t.co/eDU1htGhZt
SMOL: https://t.co/y2xQWOXi5W

[Markus Freitag @markuseful]

https://t.co/USVjkeIvSn

[Dan Deutsch @_danieldeutsch]

🚨New machine translation dataset alert! 🚨We expanded the language coverage of WMT24 from 9 to 55 en->xx language pairs by collecting new reference translations for 46 languages in a dataset called WMT24++

Paper: https://t.co/owplgurKHP
Data: https://t.co/ODxHUEq5Xl

[Markus Freitag @markuseful]

Highly recommend everyone to read Yusuf's work on data contanimation! He trained almost 90 models investigating how different types of contanimation affect test set scores! Very insigthful paper.

[Yusuf Kocyigit @mykocyigit]

Thrilled to share our latest findings on data contamination, from my internship at @Google! We trained almost 90 Models on 1B and 8B scales with various contamination types using machine translation as our task and analyze the impact of contamination.

https://t.co/4AjY5jSgX8