| Autor: |
Vastl, Martin, Zeman, Daniel, Rosa, Rudolf |
| Rok vydání: |
2020 |
| Předmět: |
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| DOI: |
10.48550/arxiv.2010.03920 |
| Popis: |
We present our submission to the SIGTYP 2020 Shared Task on the prediction of typological features. We submit a constrained system, predicting typological features only based on the WALS database. We investigate two approaches. The simpler of the two is a system based on estimating correlation of feature values within languages by computing conditional probabilities and mutual information. The second approach is to train a neural predictor operating on precomputed language embeddings based on WALS features. Our submitted system combines the two approaches based on their self-estimated confidence scores. We reach the accuracy of 70.7% on the test data and rank first in the shared task. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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