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Found 2 papers, 1 papers with code
Penalty-based Sequence Generative Adversarial Networks with Enhanced Transformer for Text Generation
In this paper, we propose a new model to solve the problem of text generation, which is based on the concept of seqGAN, combines self-attention with modeling localness, and introduces the penalty-based objective function.
A Resource for Computational Experiments on Mapudungun
We present a resource for computational experiments on Mapudungun, a polysynthetic indigenous language spoken in Chile with upwards of 200 thousand speakers.
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