Shuoyang Ding (@_sding) profile picture

Research scientist at @Nvidia working on machine translation and speech. Ex-@jhuclsp @mstranslator @SFResearch @amazonscience. Opinions are my own

Joined March 2019
Photo by Shuoyang Ding (@_sding)Photo by Shuoyang Ding (@_sding)Photo by Shuoyang Ding (@_sding)Photo by Shuoyang Ding (@_sding)Photo by Shuoyang Ding (@_sding)Photo by Shuoyang Ding (@_sding)
Shuoyang Ding retweeted
🚨 We all complain a lot about reviewers/ACs/SACs in the ML/NLP community.   But why not look at the data to see what’s going on? I found some crazy statistics about who is doing/not doing this service in the *CL community. 😱 orionweller.github.io/blog/2… 🧵
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Apply :)
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: lnkd.in/gmWUxvwa Phd students: lnkd.in/gBZSD2kz
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Shuoyang Ding retweeted
We are organizing a shared task on automatic dubbing in IWSLT 2023. Check out the website for more details iwslt.org/2023/dubbing #iwslt #dubbing #translation #mt
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I'm on the job market! (industry/post-doc/faculty) I work on multilinguality and low-resource NLP, with a focus on computational efficiency. Please don’t hesitate to reach out with opportunities (DM/email)! Applying broadly, flexible location! 🏖️❄️🏔️🌴☔️
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After a day of meetings, I just realized that using the surface headphone I got from a Microsoft internship to work for Amazon is an idea that’s doomed to backfire.
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Congratulations to CS PhD student @esalesk on being named an @Apple Scholar in artificial intelligence and machine learning! Liz is one of just 15 grad students to be recognized. Read more on this honor below⬇️ hub.jhu.edu/2022/05/25/hopki…
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Shuoyang Ding retweeted
How far are we from universal, real-time translation? We sat down with Philipp Koehn, a Meta AI research scientist and one of the inventors of the modern method of phrase-based MT, to dig into promising directions on the path toward universal translation. ai.facebook.com/blog/qa-with…
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Our EMNLP paper “Levenshtein Training for Word-level Quality Estimation” will be presented tomorrow (Nov 8th) 12:30 AST – 14:30 AST (virtual poster) and 14:45 AST in session 6C! Joint work between @jhuclsp and @mstranslator with @emjotde @mjpost Philipp Koehn. Thread (1/N)
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Looking forward to discussing this work with everyone during the presentation! And if you want something like this inside your company, I'm more than happy to chat about working for your company full-time to make it happen, too ;) (10/N)
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Ever staring at a saliency heatmap like this and wonder how reliable those interpretations are? We had the same question and took a deep dive into that in our #NAACL2021 paper (aclweb.org/anthology/2021.na…). Come to our presentation in session 14C starting at 5pm PDT today!
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