Simultaneous Translation
Related Papers
End-to-End Evaluation in Simultaneous Translation
This paper presents the end-to-end evalu- ation of an automatic simultaneous trans- lation system, built with state-of-the-art components. It shows whether, and for which situations, such a system might be …...
Learning to Translate in Real-time with Neural Machine Translation
AbstractTranslating in real-time, a.k.a.simultaneous translation, outputs translation words before the input sentence ends, which is a challenging problem for conventional machine translation methods. We propose a neural machine translation (NMT) …...
Simultaneous Translation using Optimized Segmentation
Previous simultaneous translation approaches either use a separate segmentation step followed by a machine translation decoder or rely on the decoder to segment and translate without training the segmenter to …...
Simultaneous Translation with Flexible Policy via Restricted Imitation Learning
AbstractSimultaneous translation is widely useful but remains one of the most difficult tasks in NLP. Previous work either uses fixed-latency policies, or train a complicated two-staged model using reinforcement learning. …...
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix Framework
AbstractSimultaneous translation, which translates sentences before they are finished, is use- ful in many scenarios but is notoriously dif- ficult due to word-order differences. While the conventional seq-to-seq framework is …...
Towards Multimodal Simultaneous Neural Machine Translation
AbstractSimultaneous translation involves translating a sentence before the speaker’s utterance is completed in order to realize real-time understanding in multiple languages. This task is significantly more challenging than the general …...
Improving Simultaneous Translation by Incorporating Pseudo-References with Fewer Reorderings
AbstractSimultaneous translation is vastly different from full-sentence translation, in the sense that it starts translation before the source sentence ends, with only a few words delay. However, due to the …...
The University of Edinburgh’s Submission to the IWSLT21 Simultaneous Translation Task
AbstractWe describe our submission to the IWSLT 2021 shared task on simultaneous text-to-text English-German translation. Our system is based on the re-translation approach where the agent re-translates the whole source …...
The AISP-SJTU Simultaneous Translation System for IWSLT 2022
AbstractThis paper describes AISP-SJTU’s submissions for the IWSLT 2022 Simultaneous Translation task. We participate in the text-to-text and speech-to-text simultaneous translation from English to Mandarin Chinese. The training of the …...
Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023
AbstractThis paper describes the FBK’s participation in the Simultaneous Translation and Automatic Subtitling tracks of the IWSLT 2023 Evaluation Campaign. Our submission focused on the use of direct architectures to …...