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Update README.md
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kbatsuren authored Mar 15, 2022
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Expand Up @@ -76,12 +76,12 @@ The following table shows the word-level task results of pretrained `BertTokeniz
|:----------:|:----------:|:----------:|:--------:|:-----:|:-----:|:-----:|:-------------:|
| 101 | yes | no | yes | 48.8 | 51.59 | 50.16 | 1.56 |
| 001 | no | no | yes | 49.5 | 43.76 | 46.45 | 1.66 |
| 000 | no | no | no | 6.63 | 2.42 | 3.55 | 2.16 |
| 010 | no | yes | no | 33.91 | 25.31 | 28.99 | 2.76 |
| 100 | yes | no | no | 19.58 | 12.49 | 15.25 | 2.79 |
| 111 | yes | yes | yes | 27.45 | 34.86 | 30.71 | 3.28 |
| 110 | yes | yes | no | 26.21 | 24.95 | 25.56 | 3.31 |
| 011 | no | yes | yes | 27.16 | 32.77 | 29.7 | 3.35 |
| 010 | no | yes | no | 33.91 | 25.31 | 28.99 | 2.76 |
| 110 | yes | yes | no | 26.21 | 24.95 | 25.56 | 3.31 |
| 100 | yes | no | no | 19.58 | 12.49 | 15.25 | 2.79 |
| 000 | no | no | no | 6.63 | 2.42 | 3.55 | 2.16 |
| total | - | - | - | 28.28 | 20.86 | 24.01 | 2.72 |

## Part 2: Sentence-level Morpheme Segmentation
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