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arXiv · 1905.05547

Multilingual Factor Analysis

Francisco Vargas·Kamen Brestnichki·Alex Papadopoulos-Korfiatis·Nils Hammerla
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Abstract

In this work we approach the task of learning multilingual word representations in an offline manner by fitting a generative latent variable model to a multilingual dictionary. We model equivalent words in different languages as different views of the same word generated by a common latent variable representing their latent lexical meaning. We explore the task of alignment by querying the fitted model for multilingual embeddings achieving competitive results across a variety of tasks. The proposed model is robust to noise in the embedding space making it a suitable method for distributed representations learned from noisy corpora.

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Francisco Vargas, Kamen Brestnichki, Alex Papadopoulos-Korfiatis, Nils Hammerla. 2019-05-14. Multilingual Factor Analysis. https://arxiv.org/abs/1905.05547

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