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most citedStill not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks

9 citations · 9 across the 1 of their papers we have counts for

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cs.CL2016★ 9 cited

Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks

Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh +1

We analyze the performance of encoder-decoder neural models and compare them with well-known established methods. The latter represent different classes of traditional approaches t…