@inproceedings{26b4324b302f403b890d718e75d1740e,
title = "A multi-pairwise extension of Procrustes analysis for multilingual word translation",
abstract = "In this paper we present a novel approach to simultaneously representing multiple languages in a common space. Procrustes Analysis (PA) is commonly used to find the optimal orthogonal word mapping in the bilingual case. The proposed Multi Pairwise Procrustes Analysis (MPPA) is a natural extension of the PA algorithm to multilingual word mapping. Unlike previous PA extensions that require a k-way dictionary, this approach requires only pairwise bilingual dictionaries that are much easier to construct in either a supervised or an unsupervised way. The improved performance of the MPPA algorithm is demonstrated on two standard multilingual tasks.",
author = "Hagai Taitelbaum and Gal Chechik and Jacob Goldberger",
note = "Publisher Copyright: {\textcopyright} 2019 Association for Computational Linguistics; 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019 ; Conference date: 03-11-2019 Through 07-11-2019",
year = "2019",
language = "الإنجليزيّة",
series = "EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference",
pages = "3560--3565",
booktitle = "EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference",
}