Skip to main content
DORAS
DCU Online Research Access Service
Login (DCU Staff Only)
The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task

Haque, Rejwanul ORCID: 0000-0003-1680-0099, Moslem, Yasmin and Way, Andy ORCID: 0000-0001-5736-5930 (2020) The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task. In: 4th Workshop on Neural Generation and Translation (WNGT 2020), 10 July 2020, Seattle, WA, USA (Online).

This is the latest version of this item.

Full text available as:

[img]
Preview
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
138kB

Abstract

This paper describes the ADAPT Centre’s submission to STAPLE (Simultaneous Translation and Paraphrase for Language Education) 2020, a shared task of the 4th Workshop on Neural Generation and Translation (WNGT), for the English-to-Portuguese translation task. In this shared task, the participants were asked to produce high-coverage sets of plausible translations given English prompts (input source sentences). We present our English-to-Portuguese machine translation (MT) models that were built applying various strategies, e.g. data and sentence selection, monolingual MT for generating alternative translations, and combining multiple n-best translations. Our experiments show that adding the aforementioned techniques to the baseline yields an excellent performance in the English-to-Portuguese translation task.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Computational linguistics
Computer Science > Computer engineering
Computer Science > Machine learning
Computer Science > Machine translating
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > ADAPT
Published in: Proceedings of the Fourth Workshop on Neural Generation and Translation. . Association for Computational Linguistics (ACL).
Publisher:Association for Computational Linguistics (ACL)
Official URL:https://www.aclweb.org/anthology/2020.ngt-1.17
Copyright Information:© 2020 The Authors
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland (SFI) Research Centres Programme (Grant No. 13/RC/2106), European Regional Development Fund, European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 713567, Science Foundation Ireland (SFI) Grant Number 13/RC/2077.
ID Code:24562
Deposited On:25 Jun 2020 16:22 by Rejwanul Haque . Last Modified 07 Jan 2022 16:45

Available Versions of this Item

  • The ADAPT system description for the STAPLE 2020 English-to-Portuguese translation task. (deposited 25 Jun 2020 16:22) [Currently Displayed]

Downloads

Downloads per month over past year

Archive Staff Only: edit this record

  • Student Email
  • Staff Email
  • Student Apps
  • Staff Apps
  • Loop
  • Disclaimer
  • Privacy
  • Contact Us