The Unbearable Lightness of Morph Classification

V John, Z Žabokrtský - International Conference on Text, Speech, and …, 2023 - Springer
In light of the recent push for the creation and unification of large morphologically annotated
resources, there is a call for (preferably language-independent, low-resource) methods of …

Paramor and morpho challenge 2008

C Monson, J Carbonell, A Lavie, L Levin - Evaluating Systems for …, 2009 - Springer
We summarize the strong performance of ParaMor, an unsupervised morphology induction
system, at Morpho Challenge 2008. When ParaMor's morphological analyses, which …

[PDF][PDF] A Rule-Based Unsupervised Morphology Learning Framework.

C Lignos, E Chan, MP Marcus, C Yang - CLEF (Working Notes), 2009 - lignos.org
We use the Base and Transforms Model proposed by Chan [1] as the core of a
morphological analyzer, extending its concept of base-derived relationships to allow multi …

[PDF][PDF] A Freely Available Morphological Analyzer for Turkish.

C Cöltekin - LREC, 2010 - coltekin.net
Center for Language and Cognition (CLCG) University of Groningen c. coltekin@ rug. nl
Abstract This paper presents TRmorph, a two-level morphological analyzer for Turkish …

Simple morpheme labelling in unsupervised morpheme analysis

D Bernhard - Workshop of the Cross-Language Evaluation Forum for …, 2007 - Springer
This paper describes a system for unsupervised morpheme analysis and the results it
obtained at Morpho Challenge 2007. The system takes a plain list of words as input and …

[PDF][PDF] Morphological analysis with limited resources: Latvian example

P Paikens, L Rituma, L Pretkalniņa - Proceedings of the 19th …, 2013 - aclanthology.org
We also describe the construction and methodology of the necessary linguistic resources–a
morphological dictionary and an annotated morphological corpus, and evaluate the effect of …

State of the Art in Computational Morphology: Workshop on Systems and Frameworks for Computational Morphology, SFCM 2009, Zurich, Switzerland, September 4 …

C Mahlow, M Piotrowski - 2009 - books.google.com
From the point of view of computational linguistics, morphological resources are the basis for
all higher-level applications. This is especially true for languages with a rich morphology …

MorphoDiTa: Morphological dictionary and tagger

M Straka, J Straková - 2014 - lindat.mff.cuni.cz
Description MorphoDiTa: Morphological Dictionary and Tagger is an open-source tool for
morphological analysis of natural language texts. It performs morphological analysis …

Overview of morpho challenge 2008

M Kurimo, V Turunen, M Varjokallio - Workshop of the Cross-Language …, 2008 - Springer
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 …

[PDF][PDF] Empirical comparison of evaluation methods for unsupervised learning of morphology

S Virpioja, VT Turunen, S Spiegler… - Traitement …, 2011 - aclanthology.org
Unsupervised and semi-supervised learning of morphology provide practical solutions for
processing morphologically rich languages with less human labor than the traditional rule …