{"type":"ScholarlyArticle","title":"Improving Morphology Induction by Learning Spelling Rules","authors":[{"name":"Jason Naradowsky","slug":"jason-naradowsky","given":"Jason","family":"Naradowsky","affiliation":""},{"name":"Sharon Goldwater","slug":"sharon-goldwater","given":"Sharon","family":"Goldwater","affiliation":""}],"abstract":"Unsupervised learning of morphology is an important task for human learners and in natural language processing systems. Previous systems focus on segmenting words into substrings (taking ⇒ tak.ing), but sometimes a segmentation-only analysis is insufficient (e.g., taking may be more appropriately analyzed as take+ing, with a spelling rule accounting for the deletion of the stem-final e). In this paper, we develop a Bayesian model for simultaneously inducing both morphology and spelling rules. We show that the addition of spelling rules improves performance over the baseline morphology-only model.Jason Naradowsky, Sharon Goldwater","doi":null,"url":"https://ijcai.org/proceedings/2009/256","pdf":"https://ijcai.org/proceedings/2009/0256.pdf","markdown":"https://ijcai.org/proceedings/2009/256.md","bibtex":"https://ijcai.org/proceedings/2009/bibtex/256","volume":{"slug":"2009","title":"Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2009","url":"https://ijcai.org/proceedings/2009/","year":2009,"location":"Pasadena, California, USA","dates":"","editors":"Hiroaki Kitano","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":256,"pages":{"first":1531,"last":1535},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}