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From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
Lieke Gelderloos
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Grzegorz Chrupała
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
Imagination Improves Multimodal Translation
Desmond Elliott
|
Ákos Kádár
|
Encoding of phonology in a recurrent neural model of grounded speech
Afra Alishahi
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Marie Barking
|
Grzegorz Chrupała
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Representations of language in a model of visually grounded speech signal
Grzegorz Chrupała
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Lieke Gelderloos
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Afra Alishahi
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
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Nadir Durrani
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Fahim Dalvi
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Hassan Sajjad
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James Glass
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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http://espeak.sourceforge.net
http://clic.cimec.unitn.it/
Field Of Study
Linguistic Trends
Embeddings
Task
Language Understanding
Semantic Similarity
Machine Translation
Word Segmentation
Language
English
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