Papers with cross-lingual sentence similarity
Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP (P18-1)
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| Challenge: | Using frameworks such as Universal Dependencies (UD) to transfer knowledge between languages can be challenging because of variation in syntactic structures. |
| Approach: | They propose a typologically driven method which reduces anisomorphism in UD treebanks by considering both morphological and structural properties. |
| Outcome: | The proposed method is effective for machine translation and cross-lingual sentence similarity. |
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine Translation (2023.acl-long)
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| Challenge: | Neural machine translation models can unpredictably produce severely pathological translations, known as hallucinations, that seriously undermine user trust. |
| Approach: | They propose a fully unsupervised, plug-in detector that can be used with any attention-based NMT model. |
| Outcome: | The proposed detector outperforms existing models and is competitive with detectors that employ external models trained on millions of samples. |