Multiword expressions (MWEs) vary in syntactic category, structure, the degree of semantic opaqueness, the ability of one or more constituents to undergo inflection and processes s...
In the Morpho Challenge 2009 unsupervised algorithms that provide morpheme analyses for words in different languages were evaluated in various practical applications. Morpheme ana...
Mikko Kurimo, Sami Virpioja, Ville T. Turunen, Gra...
In this paper, we want to describe a tagger/lemmatiser for Dutch medical vocabulary, which consists of a full-form dictionary and a morphological recogniser for unknown vocabulary...
We present two methods for unsupervised segmentation of words into morphemelike units. The model utilized is especially suited for languages with a rich morphology, such as Finnis...
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stemming has emerged. We developed several light stemm...
Leah S. Larkey, Lisa Ballesteros, Margaret E. Conn...