3 papers
cs.CL2020
Consistent Transcription and Translation of Speech
Matthias Sperber, Hendra Setiawan, Christian Gollan +2
The conventional paradigm in speech translation starts with a speech recognition step to generate transcripts, followed by a translation step with the automatic transcripts as inpu…
cs.CL2020
Variational Neural Machine Translation with Normalizing Flows
Hendra Setiawan, Matthias Sperber, Udhay Nallasamy +1
Variational Neural Machine Translation (VNMT) is an attractive framework for modeling the generation of target translations, conditioned not only on the source sentence but also on…
cs.CL2015
Statistical Machine Translation Features with Multitask Tensor Networks
Hendra Setiawan, Zhongqiang Huang, Jacob Devlin +4
We present a three-pronged approach to improving Statistical Machine Translation (SMT), building on recent success in the application of neural networks to SMT. First, we propose n…