IWSLT2020
Related Papers
ELITR Non-Native Speech Translation at IWSLT 2020
AbstractThis paper is an ELITR system submission for the non-native speech translation task at IWSLT 2020. We describe systems for offline ASR, real-time ASR, and our cascaded approach to offline …...
End-to-End Simultaneous Translation System for IWSLT2020 Using Modality Agnostic Meta-Learning
AbstractIn this paper, we describe end-to-end simultaneous speech-to-text and text-to-text translation systems submitted to IWSLT2020 online translation challenge. The systems are built by adding wait-k and meta-learning approaches to the …...
End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020
AbstractThis paper describes FBK’s participation in the IWSLT 2020 offline speech translation (ST) task. The task evaluates systems’ ability to translate English TED talks audio into German texts. The test …...
Neural Simultaneous Speech Translation Using Alignment-Based Chunking
AbstractIn simultaneous machine translation, the objective is to determine when to produce a partial translation given a continuous stream of source words, with a trade-off between latency and quality. We …...
Octanove Labs’ Japanese-Chinese Open Domain Translation System
AbstractThis paper describes Octanove Labs’ submission to the IWSLT 2020 open domain translation challenge. In order to build a high-quality Japanese-Chinese neural machine translation (NMT) system, we use a combination …...
Start-Before-End and End-to-End: Neural Speech Translation by AppTek and RWTH Aachen University
AbstractAppTek and RWTH Aachen University team together to participate in the offline and simultaneous speech translation tracks of IWSLT 2020. For the offline task, we create both cascaded and end-to-end …...
The University of Helsinki Submission to the IWSLT2020 Offline SpeechTranslation Task
AbstractThis paper describes the University of Helsinki Language Technology group’s participation in the IWSLT 2020 offline speech translation task, addressing the translation of English audio into German text. In line …...