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I experiment on one 8-way classification task, one 3-way classification task, and ten binary classification tasks, and show that five of the eight classes are identified better than by a random baseline measure by a statistically significant margin. Finally, I analyze the relative contribution of each of four feature groups and conclude that the same features which are best in identifying phrasal aspect are also most informative for lexical aspect."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10393/22906","http://dx.doi.org/10.20381/ruor-5835"],"dc:language":["en"],"dc:publisher":["Université d'Ottawa / University of Ottawa"],"dc:title":["Lexical Aspectual Classification"],"dc:type":["Thesis"]},"updated_at":"2026-07-24T03:39:38Z"}