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

Code

• github.com/AlexeySorokin/NeuralMorphemeSegmentation
  tf★ 0

Abstract

We apply convolutional neural networks to the task of shallow morpheme segmentation using low-resource datasets for 5 different languages. We show that both in fully supervised and semi-supervised settings our model beats previous state-of-the-art approaches. We argue that convolutional neural networks reflect local nature of morpheme segmentation better than other semi-supervised approaches.

Tasks

Reproductions