373 citations · 841 across the 71 of their papers we have counts for
9 papers · 1 filter
Automatic Spanish Translation of the SQuAD Dataset for Multilingual Question Answering
Casimiro Pio Carrino, Marta R. Costa-jussà, José A. R. Fonollosa
Recently, multilingual question answering became a crucial research topic, and it is receiving increased interest in the NLP community. However, the unavailability of large-scale d…
GeBioToolkit: Automatic Extraction of Gender-Balanced Multilingual Corpus of Wikipedia Biographies
Marta R. Costa-jussà, Pau Li Lin, Cristina España-Bonet
We introduce GeBioToolkit, a tool for extracting multilingual parallel corpora at sentence level, with document and gender information from Wikipedia biographies. Despite thegender…
The TALP-UPC System for the WMT Similar Language Task: Statistical vs Neural Machine Translation
Magdalena Biesialska, Lluis Guardia, Marta R. Costa-jussà
Although the problem of similar language translation has been an area of research interest for many years, yet it is still far from being solved. In this paper, we study the perfor…
From Bilingual to Multilingual Neural Machine Translation by Incremental Training
Carlos Escolano, Marta R. Costa-Jussà, José A. R. Fonollosa
Multilingual Neural Machine Translation approaches are based on the use of task-specific models and the addition of one more language can only be done by retraining the whole syste…
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations
Carlos Escolano, Marta R. Costa-jussà, Elora Lacroux +1
The main alternatives nowadays to deal with sequences are Recurrent Neural Networks (RNN), Convolutional Neural Networks (CNN) architectures and the Transformer. In this context, R…
Joint Source-Target Self Attention with Locality Constraints
José A. R. Fonollosa, Noe Casas, Marta R. Costa-jussà
The dominant neural machine translation models are based on the encoder-decoder structure, and many of them rely on an unconstrained receptive field over source and target sequence…
Towards Interlingua Neural Machine Translation
Carlos Escolano, Marta R. Costa-jussà, José A. R. Fonollosa
Common intermediate language representation in neural machine translation can be used to extend bilingual to multilingual systems by incremental training. In this paper, we propose…
Evaluating the Underlying Gender Bias in Contextualized Word Embeddings
Christine Basta, Marta R. Costa-jussà, Noe Casas
Gender bias is highly impacting natural language processing applications. Word embeddings have clearly been proven both to keep and amplify gender biases that are present in curren…
Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques
Joel Escudé Font, Marta R. Costa-jussà
Neural machine translation has significantly pushed forward the quality of the field. However, there are remaining big issues with the output translations and one of them is fairne…