142 citations · 213 across the 10 of their papers we have counts for
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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…
Do all Roads Lead to Rome? Understanding the Role of Initialization in Iterative Back-Translation
Mikel Artetxe, Gorka Labaka, Noe Casas +1
Back-translation provides a simple yet effective approach to exploit monolingual corpora in Neural Machine Translation (NMT). Its iterative variant, where two opposite NMT models a…