Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

Maintenance: On Wednesday, February 12th 2025, maintenance work will take place on the MariaDB servers from 9:45pm to approx. 10:45pm. During this period, ZORA and JDB will be unavailable. Thank you for your understanding.

Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021

Zhang, Biao; Sennrich, Rico (2021). Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021. In: Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021), Bangkok, Thailand (online), 1 August 2021, ACL Anthology.

Abstract

This paper describes Edinburgh’s submissions to the IWSLT2021 multilingual speech translation (ST) task. We aim at improving multilingual translation and zero-shot performance in the constrained setting (without using any extra training data) through methods that encourage transfer learning and larger capacity modeling with advanced neural components. We build our end-to-end multilingual ST model based on Transformer, integrating techniques including adaptive speech feature selection, language-specific modeling, multi-task learning, deep and big Transformer, sparsified linear attention and root mean square layer normalization. We adopt data augmentation using machine translation models for ST which converts the zero-shot problem into a zero-resource one. Experimental results show that these methods deliver substantial improvements, surpassing the official baseline by > 15 average BLEU and outperforming our cascading system by > 2 average BLEU. Our final submission achieves competitive performance (runner up).

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:1 August 2021
Deposited On:08 Nov 2021 16:13
Last Modified:28 Apr 2022 07:15
Publisher:ACL Anthology
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.18653/v1/2021.iwslt-1.19
Project Information:
  • Funder: SNSF
  • Grant ID: PP00P1_176727
  • Project Title: Multi-Task Learning with Multilingual Resources for Better Natural Language Understanding
  • Funder: H2020
  • Grant ID: 825460
  • Project Title: European Live Translator
Download PDF  'Edinburgh’s End-to-End Multilingual Speech Translation System for IWSLT 2021'.
Preview
  • Content: Published Version
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

Metadata Export

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

48 downloads since deposited on 08 Nov 2021
5 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications