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Generating Chinese Classical Poems with RNN Encoder-Decoder
[chapter]
2017
Lecture Notes in Computer Science
This paper examines the generalization abilities of encoder-decoder networks on a class of subregular functions characteristic of natural language reduplication. We find that, for the simulations we run, attention is a necessary and sufficient mechanism for learning generalizable reduplication. We examine attention alignment to connect RNN computation to a class of 2-way transducers.
doi:10.1007/978-3-319-69005-6_18
fatcat:o6ipo2tecrg6tpvvo76nocvqzu