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Convolutional neural networks for low resource morpheme segmentation: baseline or state of the art?

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Figure

Table 1: Size of the datasets used for evaluation.
Table 2: Results of our basic CNN segmentation model in comparison with sequence-to-sequence model (seq2seq),conditional random fields (CRF) and semi-supervised extension of seq2seq (semi-sup).Seq2seq and semi-supervised results for Yuto-Aztecan languages a

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