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SkitCon
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gec-spanish-BETO-TOKEN-COWS-L2H

PyTorch
Spanish
bert
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  This model has been trained on 80% of the COWS-L2H dataset for grammatical error correction of Spanish text. The corpus was sentencized, so the model has been fine-tuned for SENTENCE CORRECTION. This model will likely not perform well on an entire paragraph. To correct a paragraph, sentencize the text and run the model for each sentence.
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- BLEU: 0.740 on COWS-L2H
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  This model requires imports from a Github as it has not been integrated with the Transformers library yet. Clone the repository: https://github.com/SkitCon/synth_gec_es. All imports in example code are from the top-level of this repo.
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  This model has been trained on 80% of the COWS-L2H dataset for grammatical error correction of Spanish text. The corpus was sentencized, so the model has been fine-tuned for SENTENCE CORRECTION. This model will likely not perform well on an entire paragraph. To correct a paragraph, sentencize the text and run the model for each sentence.
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+ BLEU: 0.735 on COWS-L2H
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  This model requires imports from a Github as it has not been integrated with the Transformers library yet. Clone the repository: https://github.com/SkitCon/synth_gec_es. All imports in example code are from the top-level of this repo.
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