Generating morphological paradigms with a recurrent neural network
Robert Malouf · eScholarship (California Digital Library) · 2016
In traditional word-and-paradigm models of morphology, an inflectional system is represented via a set of exemplary paradigms.Novel wordforms are produced by analogy with previously encountered forms.This paper describes a Long Short-Term Memory (LSTM) network which can use this strategy to learn the paradigms of a morphologically complex language.Results are given which show good performance for a range of typologically diverse languages.