Papers by Zhibai Jia
Multi-Dialectal Representation Learning of Sinitic Phonology (2023.acl-srw)
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| Challenge: | In Sinitic Historical Phonology, notable tasks that could benefit from machine learning include the comparison of dialects and reconstruction of proto-languages systems. |
| Approach: | They propose to use a knowledge graph to obtain multi-dialectal representations of Sinitic syllables by using unsupervised clustering techniques and the BoxE technique from knowledge base learning. |
| Outcome: | The proposed representations capture phonemic contrast from the input dialects and can be used to infer Middle Chinese labels. |