Papers by Zhige Huang
Automatic Reconstruction of Ancient Chinese Pronunciations (2024.findings-emnlp)
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| Challenge: | A human language is comprised of a pronunciation system and a writing system, both evolving and changing over time. |
| Approach: | They reformulate existing phonetic rules into a dataset of 70,943 entries for 17,001 Chinese characters and use it to perform a temporal prediction task. |
| Outcome: | The transformer-based model significantly advances the digitization and computational reconstruction of ancient Chinese phonology, providing a more complete and temporally contextualized resource for computational linguistics and historical research. |