An Empirical Study on Crosslingual Transfer in Probabilistic Topic Models
Probabilistic topic modeling is a common first step in crosslingual tasks to enable knowledge transfer and extract multilingual features. Although many multilingual topic models have been developed, their assumptions about the training corpus are quite varied, and it is not cle...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2020-03-01
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| Series: | Computational Linguistics |
| Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/coli_a_00369 |