Machine Translation is an excellent example of how cutting-edge research and world-class infrastructure come together at Google. We focus our research efforts on developing statistical translation techniques that improve with more data and generalize well to new languages. Our large scale computing infrastructure allows us to rapidly experiment with new models trained on web-scale data to significantly improve translation quality. This research backs the translations served at translate.google.com, allowing our users to translate text, web pages and even speech. Deployed within a wide range of Google services like GMail, Books, Android and web search, Google Translate is a high-impact, research-driven product that bridges language barriers and makes it possible to explore the multilingual web in 90 languages. Exciting research challenges abound as we pursue human quality translation and develop machine translation systems for new languages.
Bootstrapping Multilingual Semantic Parsers using Large Language Models
Conference of the European Chapter of the Association for Computational Linguistics (EACL) (2023)
Adapting Multilingual Models for Code-Mixed Translation
Findings of the Association for Computational Linguistics: EMNLP 2022, Association for Computational Linguistics (2022), 7133–7141
Findings of the WMT 2022 Shared Task on Automatic Post-Editing
Proceedings of the Seventh Conference on Machine Translation, Association for Computational Linguistics, Abu Dhabi (2022), pp. 109-117
Results of WMT22 Metrics Shared Task: Stop Using BLEU - Neural Metrics Are Better and More Robust
Proceedings of the Seventh Conference on Machine Translation, Association for Computational Linguistics, Abu Dhabi (2022), pp. 46-68
Neural Machine Translation: A Review
Journal of Artificial Intelligence Research, vol. 69 (2020), pp. 343-418
Some of our teams
Our researchers work across the world
Together, our research teams tackle tough problems.