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ACL Findings2024

Linear Cross-Lingual Mapping of Sentence Embeddings

Oleg V. Vasilyev, Fumika Isono, John Bohannon

Abstract

Semantics of a sentence is defined with much less ambiguity than semantics of a single word, and we assume that it should be better preserved by translation to another language. If multilingual sentence embeddings intend to represent sentence semantics, then the similarity between embeddings of any two sentences must be invariant with respect to translation. Based on this suggestion, we consider a simple linear cross-lingual mapping as a possible improvement of the multilingual embeddings. We also consider deviation from orthogonality conditions as a measure of deficiency of the embeddings.

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Builds on3

  1. Multilingual Alignment of Contextual Word RepresentationsSteven Cao, Nikita Kitaev, Dan KleinICLR 2020 · 211 citations
  2. Making Monolingual Sentence Embeddings Multilingual using Knowledge DistillationNils Reimers, Iryna GurevychEMNLP 2020 · 54 citations
  3. Discovering Low-rank Subspaces for Language-agnostic Multilingual RepresentationsZhihui Xie, Handong Zhao, Tong Yu, Shuai LiEMNLP 2022 · 3 citations

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