Feature-Based Decipherment for Machine Translation
Orthographic similarities across languages provide a strong signal for unsupervised probabilistic transduction (decipherment) for closely related language pairs. The existing decipherment models, however, are not well suited for exploiting these orthographic similarities. We propose a log-linear mod...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2018-09-01
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| Series: | Computational Linguistics |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00326 |