mlsanityData to 7 Oct 2026

Are Girls Neko or Sh=ojo? Cross-Lingual Alignment of Non-Isomorphic Embeddings with Iterative Normalization

arXiv 1906.01622 ↗First posted 4 Jun 2019cs.CL cs.AI cs.LGcited by 15

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Abstract (arXiv)

Cross-lingual word embeddings (CLWE) underlie many multilingual natural language processing systems, often through orthogonal transformations of pre-trained monolingual embeddings. However, orthogonal mapping only works on language pairs whose embeddings are naturally isomorphic. For non-isomorphic pairs, our method (Iterative Normalization) transforms monolingual embeddings to make orthogonal alignment easier by simultaneously enforcing that (1) individual word vectors are unit length, and (2) each language's average vector is zero. Iterative Normalization consistently improves word translation accuracy of three CLWE methods, with the largest improvement observed on English-Japanese (from 2% to 44% test accuracy).

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Jun 2019.

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Citing papers per year: 2021: 6; 2022: 4; 2023: 3; 2024: 1; 2025: 1.

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