Aditya Siddhant
Working on open research problems in multilingual machine translation and cross-lingual representation learning. Additionally, using my research to enable Google Assistant in multiple languages. Before joining Google, I completed my masters from Language Technologies Institute at Carnegie Mellon University and bachelors from Indian Institute of Technology Guwahati. Outside of work, I like to play tennis and I absolutely love cars.
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Dialect-robust Evaluation of Generated Text
Jiao Sun
Elizabeth Clark
Tu Vu
Sebastian Gehrmann
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Toronto, Canada (2023), pp. 6010-6028
SEAHORSE: A Dataset of Summaries Annotated with Human Ratings in Six Languages
Elizabeth Clark
Shruti Rijhwani
Sebastian Gehrmann
EMNLP 2023, Association for Computational Linguistics (2023)
MetricX-23: The Google Submission to the WMT 2023 Metrics Shared Task
Jurik Juraska
Mara Finkelstein
Mahdi Mirzazadeh
Conference on Machine Translation (2023)
Building Machine Translation Systems for the Next Thousand Languages
Julia Kreutzer
Mengmeng Niu
Pallavi Nikhil Baljekar
Xavier Garcia
Maxim Krikun
Pidong Wang
Apu Shah
Zhifeng Chen
Yonghui Wu
Macduff Richard Hughes
Google Research (2022)
nmT5 - Is parallel data still relevant for pre-training massively multilingual language models?
Linting Xue
Mihir Sanjay Kale
Rami Al-Rfou
Annual Meeting of the Association for Computational Linguistics (ACL) (2021) (to appear)
mT5: A massively multilingual pre-trained text-to-text transformer
Linting Xue
Mihir Sanjay Kale
Rami Al-Rfou
Aditya Barua
Colin Raffel
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2021), Association for Computational Linguistics, Online, pp. 483-498
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation
Henry Tsai
Naveen Ari
AAAI 2020 (2020)
Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation
Naveen Ari
Yonghui Wu
ACL 2020 (2020)
