Feb. 13, 2024, 5:43 a.m. | Paul Garnier Gauthier Guinet

cs.LG updates on arXiv.org arxiv.org

We consider the problem of aligning two sets of continuous word representations, corresponding to languages, to a common space in order to infer a bilingual lexicon. It was recently shown that it is possible to infer such lexicon, without using any parallel data, by aligning word embeddings trained on monolingual data. Such line of work is called unsupervised bilingual induction. By wondering whether it was possible to gain experience in the progressive learning of several languages, we asked ourselves to …

bilingual continuous cs.cl cs.lg data embeddings languages line semi-supervised semi-supervised learning space supervised learning word word embeddings

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