Analyzing Mitochondrial Morphology Through Simulation Supervised Learning

Paradigm classification in supervised learning of morphology

Supervised morphological paradigm learning by identifying and aligning the longest common subsequence found in inflection tables has recently been proposed as a simple yet competitive way to induce morphological patterns. We combine this non-probabilistic strategy of inflection table generalization with a discriminative classifier to permit the reconstruction of complete inflection tables of un...

Morpholog: Constrained and Supervised Learning of Morphology

Morpholog: Constrained and Supervised Learning of Morphology

Semi-Supervised Learning of Concatenative Morphology

We consider morphology learning in a semi-supervised setting, where a small set of linguistic gold standard analyses is available. We extend Morfessor Baseline, which is a method for unsupervised morphological segmentation, to this task. We show that known linguistic segmentations can be exploited by adding them into the data likelihood function and optimizing separate weights for unlabeled and...

Supervised Learning of Morphology with Sto