Papers by Llion Jones
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation (P18-1)
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Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes
| Challenge: | In recent years, the emergence of seq2seq models has revolutionized the field of machine translation by replacing traditional phrase-based approaches with neural machine translation (NMT) systems based on the encoder-decoder paradigm. |
| Approach: | They propose to use a convolutional seq2seq model to combine the strengths of the two approaches. |
| Outcome: | The proposed architectures outperform the existing models on the WMT’14 benchmark dataset. |
Helpful Neighbors: Leveraging Neighbors in Geographic Feature Pronunciation (2023.tacl-1)
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| Challenge: | a new architecture learns to use pronunciations of neighboring names to guess pronunciations . features cause not infrequent problems in the US, but become a serious issue in Japan . |
| Approach: | They propose an architecture that learns to use pronunciations of neighboring names to guess pronunciations . they propose corrections for errors in Google Maps and an application to a totally different task . |
| Outcome: | The proposed model can be applied to finding and proposing corrections for errors in Google Maps. |