KU-CST at the SIGMORPHON 2020 Task 2 on Unsupervised Morphological Paradigm Completion

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Documents

We present a model for the unsupervised discovery of morphological paradigms. The goal of this model is to induce morphological paradigms from the bible (raw text) and a list of lemmas. We have created a model that splits each lemma in a stem and a suffix, and then we try to create a plausible suffix list by considering lemma pairs. Our model was not able to outperform the official baseline, and there is still room for improvement, but we believe that the ideas presented here are worth considering.
Original languageEnglish
Title of host publicationProceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology
Number of pages6
PublisherAssociation for Computational Linguistics
Publication dateJul 2020
Pages111-116
DOIs
Publication statusPublished - Jul 2020

ID: 246783503