title: Semi-supervised morphosyntactic classification of Old Icelandic.
abstract: We present IceMorph, a semi-supervised morphosyntactic analyzer of Old Icelandic. In addition to machine-read corpora and dictionaries, it applies a small set of declension prototypes to map corpus words to dictionary entries. A web-based GUI allows expert users to modify and augment data through an online process. A machine learning module incorporates prototype data, edit-distance metrics, and expert feedback to continuously update part-of-speech and morphosyntactic classification. An advantage of the analyzer is its ability to achieve competitive classification accuracy with minimum training data.
authors.affiliation: The Scandinavian Section, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Kryztof
authors.initials: K
authors.lastname: Urban
authors.affiliation: The Scandinavian Section, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Timothy R
authors.initials: TR
authors.lastname: Tangherlini
authors.affiliation: Department of English, National Kaohsiung Normal University, Kaohsiung, Republic of China.
authors.forename: Aurelijus
authors.initials: A
authors.lastname: Vijūnas
authors.affiliation: The University Library, University of California Los Angeles, Los Angeles, California, United States of America.
authors.forename: Peter M
authors.initials: PM
authors.lastname: Broadwell
mesh_terms: D001185:Artificial Intelligence; D049691:History, Medieval; D006801:Humans; D007055:Iceland; D020407:Internet; D007802:Language / Q000266:history*; D008037:Linguistics / Q000145:classification* / Q000379:methods*; D008091:Literature / Q000266:history*; D012984:Software