Europarl Datasets with Demographic Speaker Information
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10045/76104
| Title: | Europarl Datasets with Demographic Speaker Information |
|---|---|
| Authors: | Vanmassenhove, Eva | Hardmeier, Christian |
| Keywords: | Machine Translation |
| Knowledge Area: | Lenguajes y Sistemas Informáticos |
| Issue Date: | 2018 |
| Publisher: | European Association for Machine Translation |
| 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 |
| 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. |
| URI: | http://hdl.handle.net/10045/76104 |
| ISBN: | 978-84-09-01901-4 |
| Language: | eng |
| Type: | info:eu-repo/semantics/conferenceObject |
| Rights: | © 2018 The authors. This article is licensed under a Creative Commons 3.0 licence, no derivative works, attribution, CC-BY-ND. |
| Peer Review: | si |
| Publisher version: | http://eamt2018.dlsi.ua.es/proceedings-eamt2018.pdf |
| Appears in Collections: | EAMT2018 - Proceedings |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
 EAMT2018-Proceedings_61.pdf | 1,35 MB | Adobe PDF | Open Preview | |
See citations in Google Scholar
This item is licensed under a Creative Commons License
