Introduction of est-roberta-vm-morph-homonym-tagging
Model Details of est-roberta-vm-morph-homonym-tagging
Model description
est-roberta-vm-morph-homonym-tagging
( a.k.a
Ro-v2-H
) is an Est-RoBERTa based expert model specifically finetuned for tagging homonymous word forms in Estonian.
The model uses partofpseech and morphological features from
Vabamorf's tagset
and focuses on disambiguating homonymous words from inflectional types 1, 16, 17 and 19.
The model has been created by Sander Saska
(2026)
, and the finetuning and evaluation code is available
here
.
Important:
This model has specialized knowledge of homonymy disambiguation, but its general morphological tagging ability can be lacking (likely due to catastrophic forgetting).
Therefore,
do NOT use this model alone
for general text; use MoE variant or as an expert component.
Runs of tartuNLP est-roberta-vm-morph-homonym-tagging on huggingface.co
17
Total runs
-3
24-hour runs
-3
3-day runs
-2
7-day runs
-3
30-day runs
More Information About est-roberta-vm-morph-homonym-tagging huggingface.co Model
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est-roberta-vm-morph-homonym-tagging is an open source model from GitHub that offers a free installation service, and any user can find est-roberta-vm-morph-homonym-tagging on GitHub to install. At the same time, huggingface.co provides the effect of est-roberta-vm-morph-homonym-tagging install, users can directly use est-roberta-vm-morph-homonym-tagging installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
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