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@@ -41,7 +41,7 @@ The system was fine-tuned for lemmatisation of Modern Standard Belarusian.
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  ### Out-of-Scope Use
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- Downstream use and further fine-tuning (for instance, for text-to-SQL transformation) seem to be
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  ## Bias, Risks, and Limitations
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@@ -251,7 +251,7 @@ When tested out-of-domain, the model often struggles to generate the correct lem
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  #### Summary
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- Generally, it is possible to use this model for the preliminary tagging of Belarusian. However, if there are better options (for instance, disambiguation of existing multiple taggins with LLMs), it is better to go with them.
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  ## Environmental Impact
 
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  ### Out-of-Scope Use
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+ Downstream use and further fine-tuning (for instance, for text-to-SQL transformation) seem to be not fruitful: the model has been fine-tuned for a very specific task, which is not scalable to the other types of sequence-to-sequence transformations.
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  ## Bias, Risks, and Limitations
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  #### Summary
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+ Generally, it is possible to use this model for the preliminary tagging of Belarusian. However, if there are better options (for instance, disambiguation of existing multiple tag candidates with LLMs), it is better to go with them.
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  ## Environmental Impact