Many modern natural language processing applications would benefit from automatic morphological analysis of words, especially when dealing with morphologically rich languages. Con...
This paper presents my participation to the second Morpho Challenge. Results have been obtained with the algorithm already presented at Morpho Challenge 2005. The system takes a p...
This paper presents a revised version of an unsupervised and knowledge-free morpheme boundary detection algorithm based on letter successor variety (LSV) and a trie classifier [5...
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...