| Model | Dev accuracy | Test F1 | Paper / Source | Code |
|---|---|---|---|---|
| Dalal et al. (2006) | 87.40 | 82.40 | Hindi Part-of-Speech Tagging and Chunking: A Maximum Entropy Approach |
| Model | Dev accuracy | Test F1 | Paper / Source | Code |
|---|---|---|---|---|
| Jha et al. (2018) | 99.30 | 99.06 | Multi-Task Deep Morphological Analyzer: Context-Aware Joint Morphological Tagging and Lemma Prediction | mt-dma |
| Dalal et al. (2006) | 89.35 | 82.22 | Hindi Part-of-Speech Tagging and Chunking: A Maximum Entropy Approach |
The IIT Bombay English-Hindi Parallel Corpus used by Kunchukuttan et al. (2018) can be accessed here.
| Model | BLEU | Paper / Source | Code |
|---|---|---|---|
| Saini et al. (2018) | 18.215 (eng-hin) | Neural Machine Translation for English to Hindi | |
| Goyal et al. (2019) | 19.06 (hin-eng) | LTRC-MT Simple & Effective Hindi-English Neural Machine Translation Systems at WAT 2019 |