27 citations · 51 across the 5 of their papers we have counts for
7 papers
Sparsely Factored Neural Machine Translation
Noe Casas, Jose A. R. Fonollosa, Marta R. Costa-jussà
The standard approach to incorporate linguistic information to neural machine translation systems consists in maintaining separate vocabularies for each of the annotated features t…
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios
Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud +4
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate text from source to target l…
Syntax-driven Iterative Expansion Language Models for Controllable Text Generation
Noe Casas, José A. R. Fonollosa, Marta R. Costa-jussà
The dominant language modeling paradigm handles text as a sequence of discrete tokens. While that approach can capture the latent structure of the text, it is inherently constraine…
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…
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…
English-Catalan Neural Machine Translation in the Biomedical Domain through the cascade approach
Marta R. Costa-jussà, Noe Casas, Maite Melero
This paper describes the methodology followed to build a neural machine translation system in the biomedical domain for the English-Catalan language pair. This task can be consider…