We explore the use of morph-based language models in large-vocabulary continuous-
speech recognition systems across four so-called morphologically rich languages: Finnish …

One of the great challenges in linguistics and cognitive science is to understand the nature
of the mental representation of language. The precise mechanisms of the mind are …

Abstract The goal of Morpho Challenge 2009 was to evaluate unsupervised algorithms that
provide morpheme analyses for words in different languages and in various practical …

This paper presents the evaluation of Morpho Challenge Competition 1 (linguistic gold
standard). The Competition 2 (information retrieval) is described in a companion paper. In …

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 [1] …

Einige Sprachwissenschaftler haben sich die Ausarbeitung einer Beschreibungsmethode
als Ideal aufgestellt, die den Sinn der bedeutungstragenden Einheiten nicht ins Spiel …

Abstract In Morpho Challenge 2007, the objective was to design statistical machine learning
algorithms that discover which morphemes (smallest individually meaningful units of …

This paper gives an overview of Morpho Challenge 2008 competition and results. The goal
of the challenge was to evaluate unsupervised algorithms that provide morpheme analyses …

This paper presents the evaluation of Morpho Challenge Competition 2 (information
retrieval). The Competition 1 (linguistic gold standard) is described in a companion paper. In …

Abstract In Morpho Challenge competitions, the objective has been to design statistical
machine learning algorithms that discover which morphemes (smallest individually …