Commit ·
d6bd290
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Parent(s): a0a997a
Reference
Browse files
README.md
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@@ -31,3 +31,7 @@ p=[model.config.id2label[q] for q in torch.argmax(model(tokenizer.encode(s,retur
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print("".join(c+"。" if q=="E" or q=="S" else c for c,q in zip(s,p)))
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```
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print("".join(c+"。" if q=="E" or q=="S" else c for c,q in zip(s,p)))
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```
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## Reference
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Koichi Yasuoka: Sentence Segmentation of Classical Chinese Texts Using Transformers and BERT/RoBERTa Models, IPSJ Symposium Series, Vol.2021, No.1 (December 2021), pp.104-109.
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