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.
| Original language | English |
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| Title of host publication | 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 |
| Publisher | Association for Computational Linguistics |
| Pages | 3560-3565 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781950737901 |
| State | Published - 2019 |
| Event | 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019 - Hong Kong, China Duration: 3 Nov 2019 → 7 Nov 2019 |
Publication series
| Name | 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 |
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Conference
| Conference | 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019 |
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| Country/Territory | China |
| City | Hong Kong |
| Period | 3/11/19 → 7/11/19 |
Bibliographical note
Publisher Copyright:© 2019 Association for Computational Linguistics