Gorka Labaka

Translation Artifacts in Cross-lingual Transfer Learning

2020 · Communities in ADDI (Universidad del Pais Vasco)

Both human and machine translation play a central role in cross-lingual transfer learning: many multilingual datasets have been created through professional translation services, and using machine translation to translate either the test set or the …

Learning principled bilingual mappings of word embeddings while preserving monolingual invariance

2016

Mapping word embeddings of different languages into a single space has multiple applications. In order to map from a source space into a target space, a common approach is to learn a linear mapping that …

Learning bilingual word embeddings with (almost) no bilingual data

2017

Most methods to learn bilingual word embeddings rely on large parallel corpora, which is difficult to obtain for most language pairs. This has motivated an active research line to relax this requirement, with methods that …

Generalizing and Improving Bilingual Word Embedding Mappings with a Multi-Step Framework of Linear Transformations

2018 · Proceedings of the AAAI Conference on Artificial Intelligence

Using a dictionary to map independently trained word embeddings to a shared space has shown to be an effective approach to learn bilingual word embeddings. In this work, we propose a multi-step framework of linear …

A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings

2018 · Communities in ADDI (University of the Basque Country)

Recent work has managed to learn cross-lingual word embeddings without parallel data by mapping monolingual embeddings to a shared space through adversarial training. However, their evaluation has focused on favorable conditions, using comparable corpora or …