Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Jesús González-Rubio"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract COVID-19 pandemic, caused by the novel SARS-CoV-2 virus, has raised significant interest in understanding potential cross-immunity mechanisms. Recent evidence suggests that T-cells associated with common cold coronaviruses (229E, NL63, OC43,
Externí odkaz:
https://doaj.org/article/b4b0bcea15094f678b131e0a10e3fe0c
Autor:
Jesús González-Rubio
Publikováno v:
WMT (3)
This document describes the participation of Webinterpret in the shared task on parallel corpus filtering at the Fourth Conference on Machine Translation (WMT 2019). Here, we describe the main characteristics of our approach and discuss the results o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c25fe9a4cef086179d6cbc1aa1bcb5e3
https://doi.org/10.18653/v1/w19-5437
https://doi.org/10.18653/v1/w19-5437
Publikováno v:
Neural Computing and Applications. 28:2403-2413
This work explores the application of minimum description length (MDL) inference to estimate the parameters of phrase-based statistical machine translation (SMT) models. In comparison with current inference techniques that rely on a long decoupled pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fbabe336a69b068a54e10807493b318
https://doi.org/10.1007/s00521-016-2257-0
https://doi.org/10.1007/s00521-016-2257-0
Autor:
Sarahi Vidales, Jesús González Rubio, Enrique Arribas Garde, Raquel Ramírez Vázquez, Carmen del Pilar Suárez Rodríguez, Augusto Beléndez, Isabel Escobar García
Publikováno v:
ResearcherID
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
The training of the students of electrical mechanical engineering is based on the acquisition of disciplinary knowledge in the areas of thermodynamics, mechanical, electrical and electronic design, quality control, safety and hygiene and materials. B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0288652c3ad5466ea39f32d3d2288381
https://hdl.handle.net/10045/95221
https://hdl.handle.net/10045/95221
Autor:
Marina Fomicheva, Jesús González-Rubio
Publikováno v:
WMT (shared task)
This paper describes the participation of Webinterpret in the shared task on parallel corpus filtering at the Third Conference on Machine Translation (WMT 2018). The paper describes the main characteristics of our approach and discusses the results o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02e6c0c846e444d3eb51baaaae02af94
https://doi.org/10.18653/v1/w18-6476
https://doi.org/10.18653/v1/w18-6476
Autor:
S. Maffey, Isabel Escobar García, Alberto Nájera López, Sarahi Vidales, Juan Besanilla, Jesús González Rubio, María Teresa Franco, Enrique Arribas Garde, Yolanda Benitez, Carmen del Pilar Suárez Rodríguez, Augusto Beléndez, Cuauhtémoc Garcia-Olguin, Yannely Domínguez
Publikováno v:
RUA. Repositorio Institucional de la Universidad de Alicante
Universidad de Alicante (UA)
ResearcherID
Universidad de Alicante (UA)
ResearcherID
Teachers are deeply concerned on how to be more effective in our task of teaching. We must organize the contents of our specific area providing them with a logical configuration, for which we must know the mental structure of the students that we hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e538c64c379b088de98a8dccbb3cd3c5
https://hdl.handle.net/10045/53733
https://hdl.handle.net/10045/53733
Autor:
Vicente Alabau, Bartolomé Mesa-Lao, Jesús González-Rubio, Michael Carl, Daniel Ortiz-Martínez, Germán Sanchis-Trilles, Moritz Schaeffer, Francisco Casacuberta, Mercedes Garcia Martinez
Publikováno v:
New Directions in Empirical Translation Process Research ISBN: 9783319203577
This chapter reports the results of a longitudinal study (LS14) in which the CASMACAT post-editing workbench was tested with interactive translation prediction (ITP). Whereas previous studies with the CASMACAT workbench (Sanchis-Trilles et al., Machi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6963a8af573079f38ce16a4d59551d32
https://research.cbs.dk/en/publications/a29eb7ea-c365-4b9c-9446-ea8768fcc345
https://research.cbs.dk/en/publications/a29eb7ea-c365-4b9c-9446-ea8768fcc345
Autor:
Germán Sanchis-Trilles, Daniel Ortiz-Martínez, Francisco Casacuberta, Vicent Alabau, Jesús González-Rubio
Publikováno v:
New Directions in Empirical Translation Process Research ISBN: 9783319203577
AMTA (IAMT)
AMTA (IAMT)
This chapter describes a pilot study aiming at testing the integration of online and active learning features into the computer-assisted translation workbench developed within the CASMACAT project. These features can be used to take advantage of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02879bec16142bc3e76ca86de94d92dc
https://doi.org/10.1007/978-3-319-20358-4_3
https://doi.org/10.1007/978-3-319-20358-4_3
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
instname
System combination has proved to be a successful technique in the pattern recognition field. However, several difficulties arise when combining the outputs of tasks, e.g. machine translation, that generate structured patterns. So far, machine transla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c99e69d494528da12814d6a6e45ebf5b
https://doi.org/10.1007/s10044-014-0387-5
https://doi.org/10.1007/s10044-014-0387-5
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783319193892
IbPRIA
IbPRIA
We study the application of minimum description length (MDL) inference to estimate pattern recognition models for machine translation. MDL is a theoretically-sound approach whose empirical results are however below those of the state-of-the-art pipel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0051d05ac9e19d9ad29f25801cb9bdc5
https://doi.org/10.1007/978-3-319-19390-8_25
https://doi.org/10.1007/978-3-319-19390-8_25