Search Results for author: Ye Qi

Found 3 papers, 3 papers with code

When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?

1 code implementation NAACL 2018 Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, Graham Neubig

The performance of Neural Machine Translation (NMT) systems often suffers in low-resource scenarios where sufficiently large-scale parallel corpora cannot be obtained.

Machine Translation Translation +1

XNMT: The eXtensible Neural Machine Translation Toolkit

1 code implementation WS 2018 Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang

In this paper we describe the design of XNMT and its experiment configuration system, and demonstrate its utility on the tasks of machine translation, speech recognition, and multi-tasked machine translation/parsing.

Machine Translation Speech Recognition +1

CycleGAN Face-off

1 code implementation9 Dec 2017 Xiaohan Jin, Ye Qi, Shangxuan Wu

Face-off is an interesting case of style transfer where the facial expressions and attributes of one person could be fully transformed to another face.

Style Transfer

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