Papers by Scot Fang
Learning to Pronounce Chinese Without a Pronunciation Dictionary (2020.emnlp-main)
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| Challenge: | EM method achieves a test-set accuracy of 71%, vector-based method achieve 81%. |
| Approach: | They propose a program that learns to pronounce Chinese text in Mandarin without a pronunciation dictionary. |
| Outcome: | The proposed program deciphers Chinese text in Mandarin without a pronunciation dictionary. |
MeetDot: Videoconferencing with Live Translation Captions (2021.emnlp-demo)
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Arkady Arkhangorodsky, Christopher Chu, Scot Fang, Yiqi Huang, Denglin Jiang, Ajay Nagesh, Boliang Zhang, Kevin Knight
| Challenge: | MeetDot is a videoconferencing system with live translation captions overlaid on screen . currently, the system supports speech and captions in 4 languages . |
| Approach: | They propose a videoconferencing system with live translation captions overlaid on screen . the system supports speech and captions in 4 languages and combines automatic speech recognition and machine translation in a cascade . |
| Outcome: | The proposed system supports speech and captions in 4 languages and has very tight latency requirements to have acceptable call quality. |