Ondřej Cífka
2018
Neural Monkey: The Current State and Beyond
Jindřich Helcl
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Jindřich Libovický
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Tom Kocmi
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Tomáš Musil
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Ondřej Cífka
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Dušan Variš
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Ondřej Bojar
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)
Are BLEU and Meaning Representation in Opposition?
Ondřej Cífka
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Ondřej Bojar
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
One of possible ways of obtaining continuous-space sentence representations is by training neural machine translation (NMT) systems. The recent attention mechanism however removes the single point in the neural network from which the source sentence representation can be extracted. We propose several variations of the attentive NMT architecture bringing this meeting point back. Empirical evaluation suggests that the better the translation quality, the worse the learned sentence representations serve in a wide range of classification and similarity tasks.
2016
UFAL Submissions to the IWSLT 2016 MT Track
Ondřej Bojar
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Ondřej Cífka
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Jindřich Helcl
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Tom Kocmi
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Roman Sudarikov
Proceedings of the 13th International Conference on Spoken Language Translation
We present our submissions to the IWSLT 2016 machine translation task, as our first attempt to translate subtitles and one of our early experiments with neural machine translation (NMT). We focus primarily on English→Czech translation direction but perform also basic adaptation experiments for NMT with German and also the reverse direction. Three MT systems are tested: (1) our Chimera, a tight combination of phrase-based MT and deep linguistic processing, (2) Neural Monkey, our implementation of a NMT system in TensorFlow and (3) Nematus, an established NMT system.
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Co-authors
- Ondřej Bojar 3
- Jindřich Helcl 2
- Tom Kocmi 2
- Roman Sudarikov 1
- Jindřich Libovický 1
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