Optical Character Recognition2020en
mldoc-zero-shot-english-to-japanese
Dataset from Papers With Code
Metrics:accuracy, cer, wer, f1
Current State of the Art
MultiFiT, pseudo
Unknown
69.57
accuracy
accuracy Progress Over Time
Showing 2 breakthroughs from May 2018 to Sep 2019
Key Milestones
Total Improvement
2.9%
Time Span
1y 4m
Breakthroughs
2
Current SOTA
69.6
Top Models Performance Comparison
Top 3 models ranked by accuracy
Best Score
69.6
Top Model
MultiFiT, pseudo
Models Compared
3
Score Range
9.3
accuracyPrimary
| # | Model | Score | Paper / Code | Date |
|---|---|---|---|---|
| 1 | MultiFiT, pseudo | 69.57 | Sep 2019 | |
| 2 | MultiCCA + CNN | 67.63 | May 2018 | |
| 3 | Massively Multilingual Sentence Embeddings | 60.3 | Dec 2018 |
Related Papers3
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Sep 2019Models: MultiFiT, pseudo
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
Dec 2018Models: Massively Multilingual Sentence Embeddings
A Corpus for Multilingual Document Classification in Eight Languages
May 2018Models: MultiCCA + CNN