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Semantic and syntactic information for neural machine translation: Injecting features to the transformer
(2021-05-18)
Article
Open AccessIntroducing factors such as linguistic features has long been proposed in machine translation to improve the quality of translations. More recently, factored machine translation has proven to still be useful in the case ... -
Real-time interpolation of global ionospheric maps by means of sparse representation
(2021-06-12)
Article
Restricted access - publisher's policyIn this paper, we propose a method for the generation of real-time global ionospheric map (RT-GIM) of vertical total electron content (VTEC) from GNSS measurements. The need for interpolation arises from the fact that the ... -
Multilingual natural language processing: Towards universal translation
(Springer Nature, 2021-05)
Article
Open AccessState of the art neural network approaches enable massive multilingual translation. How close are we to universal translation in any language? -
An analysis of gender bias studies in natural language processing
(Springer Science and Business Media LLC, 2019-10-14)
Article
Open AccessArtificial intelligence systems copy and amplify existing societal biases, a problem that by now is widely acknowledged and studied. But is current research of gender bias in natural language processing actually moving ... -
Polar electron content from GPS data-based global ionospheric maps: assessment, case studies, and climatology
(2020-04-22)
Article
Open AccessThe electron content distribution of the north and south polar ionosphere from 2001 to the beginning of 2019 is analyzed by using the UQRG global ionospheric map (GIM) of vertical total electron content (VTEC), computed ... -
Estimation of polar depletion regions by VTEC contrast and watershed enhancing
(Institute of Electrical and Electronics Engineers (IEEE), 2021)
Article
Open AccessThis article presents a method for determining near-Pole ionization depletion regions and troughs from global navigation satellite system (GNSS) vertical total electron content (VTEC) maps. To define the regions, we use ... -
Frequency domain analysis and filtering of business and consumer survey expectations
(Elsevier, 2021-08)
Article
Restricted access - publisher's policyThe main objective of this study is two-fold. First, we aim to detect the underlying existing periodicities in business and consumer survey expectations by means of spectral analysis. We use the Welch method to extract the ... -
From bilingual to multilingual neural-based machine translation by incremental training
(2020-08-02)
Article
Open AccessA common intermediate language representation in neural machine translation can be used to extend bilingual systems by incremental training. We propose a new architecture based on introducing an interlingual loss as an ... -
Converses al voltant de la intel·ligència artificial en clau catalana
(2020-12)
Article
Open AccessLa intel·ligència artificial mou milions d’euros i ocupa una part important de les agendes polítiques i estratègiques dels governs. En aquest article reflexionem sobre aquest concepte difús i ho fem a través de tres ... -
AMALEU: una representación universal del lenguaje basada en aprendizaje automático
(2020-09)
Article
Open AccessEl objetivo del proyecto AMALEU es aprender una representación común para diferentes idiomas. Se pretende tener una representación común para la lengua oral y una para la lengua escrita. AMALEU, de dos años de duración, ... -
Multilingual and interlingual semantic representations for natural language processing: a brief introduction
(2020)
Article
Open AccessWe introduce the Computational Linguistics special issue on Multilingual and Interlingual Semantic Representations for Natural Language Processing. We situate the special issue’s five articles in the context of our ... -
A genetic programming approach for estimating economic sentiment in the Baltic countries and the European Union
(2021-01-18)
Article
Open AccessIn this study, we introduce a sentiment construction method based on the evolution of survey-based indicators. We make use of genetic algorithms to evolve qualitative expectations in order to generate country-specific ...
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