cjvt
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Update README.md

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@@ -41,11 +41,11 @@ Testing the model with **generated** test sets provides the following result (co
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  - `Recall`: 0,935
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  - `F1`: 0,960
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- Testing the model with test sets constructed using the **Šolar** dataset provides the following results (combining detection and correction of words with incorrect spelling):
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- - `Precission`: 0,702
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- - `Recall`: 0,763
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- - `F1`: 0,731
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  ## Acknowledgement
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  - `Recall`: 0,935
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  - `F1`: 0,960
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+ Testing the model, in combination with **cjvt/SloBERTa-slo-word-spelling-annotator**, with test sets constructed using the **Šolar** dataset provides the following results (combining detection and correction of words with incorrect spelling):
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+ - `Precission`: 0,823
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+ - `Recall`: 0.796
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+ - `F1`: 0,810
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  ## Acknowledgement
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