Search Results for author: Felix Hieber

Found 12 papers, 6 papers with code

Sockeye 2: A Toolkit for Neural Machine Translation

1 code implementation EAMT 2020 Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar

We present Sockeye 2, a modernized and streamlined version of the Sockeye neural machine translation (NMT) toolkit.

Machine Translation Translation

Image Captioning as Neural Machine Translation Task in SOCKEYE

1 code implementation9 Oct 2018 Loris Bazzani, Tobias Domhan, Felix Hieber

Image captioning is an interdisciplinary research problem that stands between computer vision and natural language processing.

Image Captioning Machine Translation +1

Sockeye: A Toolkit for Neural Machine Translation

15 code implementations15 Dec 2017 Felix Hieber, Tobias Domhan, Michael Denkowski, David Vilar, Artem Sokolov, Ann Clifton, Matt Post

Written in Python and built on MXNet, the toolkit offers scalable training and inference for the three most prominent encoder-decoder architectures: attentional recurrent neural networks, self-attentional transformers, and fully convolutional networks.

Machine Translation Translation

Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning

1 code implementation EMNLP 2017 Tobias Domhan, Felix Hieber

The performance of Neural Machine Translation (NMT) models relies heavily on the availability of sufficient amounts of parallel data, and an efficient and effective way of leveraging the vastly available amounts of monolingual data has yet to be found.

Language Modelling Machine Translation +2

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