Blake H. Allen

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Dissertation: ensemble morphology

This project focuses on developing a probabilistic, computationally implemented model that can learn to parse and generate complex inflectional morphology from minimally annotated training data. It learns from lists of wordforms and their holistic meanings (example here), with a learning endstate capable of generating candidates for unobserved forms of novel words and probability distributions over them (example here). These predictions should closely match those offered by native speakers.


My contributions: model design, learning algorithm design, all coding (Python), experimental design

Papers and presentations

(Coming soon!)

Online resources

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