ACL 2024findings0 citations
Linear Cross-Lingual Mapping of Sentence Embeddings
Oleg 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.
BibTeX
@inproceedings{vasilyev-etal-2024-linear,
title = "Linear Cross-Lingual Mapping of Sentence Embeddings",
author = "Vasilyev, Oleg and
Isono, Fumika and
Bohannon, John",
editor = "Ku, Lun-Wei and
Martins, Andre and
Srikumar, Vivek",
booktitle = "Findings of the Association for Computational Linguistics: ACL 2024",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-acl.486/",
doi = "10.18653/v1/2024.findings-acl.486",
pages = "8163--8171"
}