FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN

Ebrahim Ansari*, Amittai Axelrod, Nguyen Bach, Ondrej Bojar, Roldano Cattoni, Fahim Dalvi, Nadir Durrani, Marcello Federico, Christian Federmann, Jiatao Gu, Fei Huang, Kevin Knight, Xutai Ma, Ajay Nagesh, Matteo Negri, Jan Niehues, Juan Pino, Elizabeth Salesky, Xing Shi, Sebastian StukerMarco Turchi, Alex Waibel, Changhan Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

26 Citations (Web of Science)

Abstract

The evaluation campaign of the International Conference on Spoken Language Translation (IWSLT 2020) featured this year six challenge tracks: (i) Simultaneous speech translation, (ii) Video speech translation, (iii) Offline speech translation, (iv) Conversational speech translation, (v) Open domain translation, and (vi) Non-native speech translation. A total of 30 teams participated in at least one of the tracks. This paper introduces each track's goal, data and evaluation metrics, and reports the results of the received submissions.

Original languageEnglish
Title of host publication17TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION (IWSLT 2020)
PublisherThe Association for Computational Linguistics
Pages1-34
Number of pages34
DOIs
Publication statusPublished - 2020
Event17th International Conference on Spoken Language Translation - Online, United States
Duration: 9 Jul 202010 Jul 2020
Conference number: 17
http://iwslt2020.ira.uka.de/doku.php

Conference

Conference17th International Conference on Spoken Language Translation
Abbreviated titleIWSLT 2020
Country/TerritoryUnited States
Period9/07/2010/07/20
Internet address

Cite this