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dc.contributor.author | Iranzo-Sánchez, Javier | es_ES |
dc.contributor.author | Civera Saiz, Jorge | es_ES |
dc.contributor.author | Juan, Alfons | es_ES |
dc.date.accessioned | 2022-04-27T11:33:17Z | |
dc.date.available | 2022-04-27T11:33:17Z | |
dc.date.issued | 2021-11-11 | es_ES |
dc.identifier.isbn | 978-1-955917-10-0 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/182203 | |
dc.description.abstract | [EN] Simultaneous machine translation has recently gained traction thanks to significant quality improvements and the advent of streaming applications. Simultaneous translation systems need to find a trade-off between translation quality and response time, and with this purpose multiple latency measures have been proposed. However, latency evaluations for simultaneous translation are estimated at the sentence level, not taking into account the sequential nature of a streaming scenario. Indeed, these sentence-level latency measures are not well suited for continuous stream translation, resulting in figures that are not coherent with the simultaneous translation policy of the system being assessed. This work proposes a stream-level adaptation of the current latency measures based on a re-segmentation approach applied to the output translation, that is successfully evaluated on streaming conditions for a reference IWSLT task. | es_ES |
dc.description.sponsorship | The research leading to these results has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement no. 761758 (X5Gon) and 952215 (TAILOR) and Erasmus+ Education program under grant agreement no. 20-226-093604-SCH; the Government of Spain's research project Multisub, ref. RTI2018-094879-B-I00 (MCIU/AEI/FEDER,EU) and FPU scholarships FPU18/04135; and the Generalitat Valenciana's research project Classroom Activity Recognition, ref. PROMETEO/2019/111. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | The Association for Computational Linguistics | es_ES |
dc.relation.ispartof | Findings of the Association for Computational Linguistics: EMNLP 2021 | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject.classification | LENGUAJES Y SISTEMAS INFORMATICOS | es_ES |
dc.title | Stream-level Latency Evaluation for Simultaneous Machine Translation | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-094879-B-I00/ES/SUBTITULACION MULTILINGUE DE CLASES DE AULA Y SESIONES PLENARIAS/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/MCIU//FPU18%2F04135//AYUDA PREDOCTORAL FPU-IRANZO SANCHEZ. PROYECTO: NOVEL CONTRIBUTIONS TO NEURAL SPEECH TRANSLATION/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/761758/EU | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement///PROMETEO%2F2019%2F111//CLASSROOM ACTIVITY RECOGNITION/ | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/952215/EU | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement///2020-1-SI01-KA226-SCH-093604//EDUCATIONAL EXPLANATIONS AND PRACTICES IN EMERGENCY REMOTE TEACHING/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació | es_ES |
dc.description.bibliographicCitation | Iranzo-Sánchez, J.; Civera Saiz, J.; Juan, A. (2021). Stream-level Latency Evaluation for Simultaneous Machine Translation. The Association for Computational Linguistics. 664-670. http://hdl.handle.net/10251/182203 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | Conference on Empirical Methods in Natural Language Processing (EMNLP 2021) | es_ES |
dc.relation.conferencedate | Noviembre 07-11,2021 | es_ES |
dc.relation.conferenceplace | Punta Cana, Republica Dominicana | es_ES |
dc.relation.publisherversion | https://aclanthology.org/volumes/2021.findings-emnlp/ | es_ES |
dc.description.upvformatpinicio | 664 | es_ES |
dc.description.upvformatpfin | 670 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\450293 | es_ES |
dc.contributor.funder | European Regional Development Fund | es_ES |
dc.contributor.funder | Ministerio de Ciencia, Innovación y Universidades | es_ES |