CERR and WERR measure the drop in CER and WER respectively. The higher the better while negative values are possible when the error increases.
| Δ | # | Participants | CERR | WERR | Entries | Last Submission | Submission Trend | |
|---|---|---|---|---|---|---|---|---|
|
|
01 |
|
0.278 | 1.575 | 29 |
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02 |
lacemaker
|
0.247 | 1.836 | 31 |
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03 |
shoji
|
0.141 | 0.567 | 74 |
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04 |
|
0.050 | 0.014 | 54 |
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05 |
MichaelIbrahim
|
0.049 | -0.101 | 22 |
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|
Baseline
LMing/Rules
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|
0.012 | 0.033 | View | |||||
|
|
06 |
nikhilbyte
|
0.012 | 0.033 | 24 |
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06 |
shivam
|
0.012 | 0.033 | 3 |
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08 |
ilya_dimov
|
-0.073 | -0.148 | 2 |
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|
09 |
enrique_a
|
-0.353 | -1.310 | 1 |
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|
Baseline
Edit distance
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|
-0.353 | -1.310 | View | |||||
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09 |
sergio_manuel
|
-0.353 | -1.310 | 2 |
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09 |
saqib_ul_sabha
|
-0.353 | -1.310 | 1 |
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09 |
745H1N
|
-0.353 | -1.310 | 1 |
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09 |
pierrot
|
-0.353 | -1.310 | 1 |
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|
14 |
neverix
|
-2.264 | -2.846 | 3 |
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