Papers with Unsupervised learning of cross-lingual word embedding
Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder (D18-1)
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| Challenge: | Unsupervised learning of cross-lingual word embeddings has fundamental limitations in translating sentences. |
| Approach: | They propose a method to improve word-by-word translation of cross-lingual embeddings using monolingual corpora without any back-translation. |
| Outcome: | The proposed system surpasses state-of-the-art unsupervised translation systems without costly iterative training. |