Europarl Datasets with Demographic Speaker Information
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/76104
Registro completo de metadatos
| Campo DC | Valor | Idioma |
|---|---|---|
| dc.contributor.author | Vanmassenhove, Eva | - |
| dc.contributor.author | Hardmeier, Christian | - |
| dc.date.accessioned | 2018-05-31T13:08:47Z | - |
| dc.date.available | 2018-05-31T13:08:47Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Vanmassenhove, Eva; Hardmeier, Christian. “Europarl Datasets with Demographic Speaker Information”. In: Pérez-Ortiz, Juan Antonio, et al. (Eds.). Proceedings of the 21st Annual Conference of the European Association for Machine Translation: 28-30 May 2018, Universitat d'Alacant, Alacant, Spain, pp. 371 | es_ES |
| dc.identifier.isbn | 978-84-09-01901-4 | - |
| dc.identifier.uri | http://hdl.handle.net/10045/76104 | - |
| dc.description.abstract | Research on speaker-adapted neural machine translation (NMT) is scarce. One of the main challenges for more personalized MT systems is finding large enough annotated parallel datasets with speaker information. Rabinovich et al. (2017) published an annotated parallel dataset for EN–FR and EN–DE, however, for many other language pairs no sufficiently large annotated datasets are available. | es_ES |
| dc.language | eng | es_ES |
| dc.publisher | European Association for Machine Translation | es_ES |
| dc.rights | © 2018 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works, attribution, CC-BY-ND. | es_ES |
| dc.subject | Machine Translation | es_ES |
| dc.subject.other | Lenguajes y Sistemas Informáticos | es_ES |
| dc.title | Europarl Datasets with Demographic Speaker Information | es_ES |
| dc.type | info:eu-repo/semantics/conferenceObject | es_ES |
| dc.peerreviewed | si | es_ES |
| dc.relation.publisherversion | http://eamt2018.dlsi.ua.es/proceedings-eamt2018.pdf | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| Aparece en las colecciones: | EAMT2018 - Proceedings | |
Archivos en este ítem:
| Archivo | Descripción | Tamaño | Formato | |
|---|---|---|---|---|
 EAMT2018-Proceedings_61.pdf | 1,35 MB | Adobe PDF | Abrir Vista previa | |
Ver citas en Google Académico
Este ítem está licenciado bajo Licencia Creative Commons
