MLT
Benchmarks
TaskDatasetSOTA resultTrendResults
MLT 2017 (test)
87.3Precision
25
MLT19
90.5Average Score
21
MLT 17
94.9Average Accuracy
21
MLT 2019 (test)
58.2F-measure (%)
15
MLT 2017
85.37Precision
14
MLT 2019 (test)
75.5F-score
12
MLT
92Recall
10
MLT 2017 (test)
72.2Acc (%)
8
MLT 2017 (test)
74.1F1 Score
8
MLT Japanese 2019 (test)
65.34Character Accuracy (Overall)
4
MLT 2019 (test)
66.7Accuracy
3
MLT (test)
58.91Recall
3
MLT 2017 (val)
64.1Character Accuracy
3