Papers with cross-lingual mapping
IsoVec: Controlling the Relative Isomorphism of Word Embedding Spaces (2022.emnlp-main)
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| Challenge: | a faulty cross-lingual mapping technique results in non-isomorphic word embedding spaces . we address the root-cause of this problem by increasing the relative isomorphism of word embedsing spaces. |
| Approach: | They address the root-cause of faulty cross-lingual mapping by incorporating global measures of isomorphism into the skipgram loss function. |
| Outcome: | The proposed method improves bilingual lexicon induction under domain mismatch and with training algorithm dissimilarities. |
Improving Multilingual Neural Machine Translation by Utilizing Semantic and Linguistic Features (2024.findings-acl)
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| Challenge: | Existing models do not differentiate between semantic and linguistic features, resulting in the entanglement of knowledge and linguistics within the model. |
| Approach: | They propose to exploit both semantic and linguistic features to enhance multilingual translation by disentangling encoder representations and integrating low-level linguistic encoders. |
| Outcome: | The proposed model improves zero-shot translation while maintaining performance in supervised translation on multilingual datasets. |