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@@ -181,7 +181,7 @@ The following table summarizes the performance of this model in terms of Charact
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  In CER calculation, punctuation marks and non-alphabet characters are removed, and numbers are transformed to words using `num2words` library [6].
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  |**Version**|**Decoder**|**JSUT basic5000**|**MCV 8.0 test**|**MCV 16.1 dev**|**MCV16.1 test**|**TEDxJP-10k**|
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- |-----------|-----------|------------------|----------------|----------------|----------------|--------------|
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  | 1.23.0 | TDT | 6.4 | 7.1 | 10.1 | 13.2 | 9.0 |
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  | 1.23.0 | CTC | 6.5 | 7.2 | 10.2 | 13.3 | 9.1 |
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  In CER calculation, punctuation marks and non-alphabet characters are removed, and numbers are transformed to words using `num2words` library [6].
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  |**Version**|**Decoder**|**JSUT basic5000**|**MCV 8.0 test**|**MCV 16.1 dev**|**MCV16.1 test**|**TEDxJP-10k**|
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+ |:---:|:---:|:---:|:---:|:---:|:---:|:---:|
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  | 1.23.0 | TDT | 6.4 | 7.1 | 10.1 | 13.2 | 9.0 |
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  | 1.23.0 | CTC | 6.5 | 7.2 | 10.2 | 13.3 | 9.1 |
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