Papers with multilingual foundation model
BinaryAlign: Word Alignment as Binary Sequence Labeling (2024.acl-long)
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| Challenge: | State-of-the-art word alignment training methods require a different class depending on the availability of gold data for a particular language pair. |
| Approach: | They propose a novel word alignment technique based on binary sequence labeling that outperforms existing approaches in both scenarios. |
| Outcome: | The proposed method outperforms existing models on non-English language pairs and performs stratified error analysis over alignment error type. |