Massively multilingual models for neural machine translation (NMT) are theoretically attractive, but often underperform bilingual models and deliver poor zero-shot translations. In this paper, we explore ways to improve them. We argue that multilingual NMT requires stro...

ESS ERIC in collaboration with Sciences Po decided to develop a Web Panel Sample Service as part of the SSHOC project. This software will be used by ESS ERIC for CRONOS-2, a cross-national panel, as part of ESS-SUSTAIN-2 H2020 project. This presentation outlines the mai...

Electronic health records contain valuable information written in narrative form. A relevant challenge in clinical narrative text is that concepts commonly appear negated. Several proposals have been developed to detect negation in clinical text written in Spanish. Much...

POSTDATA focused on poetry analysis, the publication of poetic resources and their exploration, applying Digital Humanities methods. This is a trans-domain project, as it combines traditional philological studies with digital humanities technologies and tools. It is...

Presentation at the EADH 2018: "Data in Digital Humanities" at National University of Ireland, Galway 7-9 December 2018

For machine translation to tackle discourse phenomena, models must have access to extra-sentential linguistic context. There has been recent interest in modelling context in neural machine translation (NMT), but models have been principally evaluated with standard autom...

International audience; Enjambment takes place when a syntactic unit is broken up across two lines of poetry, giving rise to different stylistic effects. In Spanish literary studies, there are unclear points about the types of stylistic effects that can arise, and under...

In this paper, we present a proof-of-concept implementation of a coreference-aware decoder for document-level machine translation. We consider that better translations should have coreference links that are closer to those in the source text, and implement this criterio...

This paper presents the steps undertaken for building a word formation lexicon for Latin. The types of word formation rules are discussed and the semi-automatic procedure to pair their input and output lexical items is evaluated. An on-line graphical query system to acc...