Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated competition pitting against one another algorithms designed to discover the morphological structure of natural languages from nothing more than raw text. ParaMor constructs sets of affixes closely mimicking the paradigms of a language, and, with these structures in hand, annotates word forms with morpheme boundaries. Of the four language tracks in Morpho Challenge 2007, we entered ParaMor in English and German. Morpho Challenge 2007 evaluated systems on their precision, recall, and balanced F1 at identifying morphological processes, whether those processes mark derivational morphology or inflectional features. In English, ParaMor’s balanced pr...
Morphological tasks use large multi-lingual datasets that organize words into inflection tables, whi...
In the Morpho Challenge 2009 unsupervised algorithms that provide morpheme anal-yses for words in di...
This paper presents an algorithm for the unsuper-vised learning of a simple morphology of a nat-ural...
Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated ...
Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated c...
ParaMor, our unsupervised morphology in-duction algorithm placed well in Morpho Challenge 2007 (Kuri...
Paradigms provide an inherent organizational structure to natural language morphology. ParaMor, our ...
Paradigms provide an inherent organizational structure to natural language morphology. ParaMor, our ...
ParaMor, our unsupervised morphology induction system performed well at Morpho Challenge 2008. When ...
Most of the world’s natural languages have complex morphology. But the expense of building morpholog...
The ParaMor algorithm for unsupervised morphology induction, which competed in the 2007 and 2008 Mor...
The field of statistical natural language processing has been turning toward morpholog-ically rich l...
In this work, Morfessor, a morpheme segmentation model and algorithm developed by the organizers of ...
This dissertation develops an algorithmic approach to linguistics through the study of topics in uns...
International audienceWe present an implemented algorithm for the inference of morphophonological al...
Morphological tasks use large multi-lingual datasets that organize words into inflection tables, whi...
In the Morpho Challenge 2009 unsupervised algorithms that provide morpheme anal-yses for words in di...
This paper presents an algorithm for the unsuper-vised learning of a simple morphology of a nat-ural...
Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated ...
Our algorithm, ParaMor, fared well in Morpho Challenge 2007 (Kurimo et al., 2007), a peer operated c...
ParaMor, our unsupervised morphology in-duction algorithm placed well in Morpho Challenge 2007 (Kuri...
Paradigms provide an inherent organizational structure to natural language morphology. ParaMor, our ...
Paradigms provide an inherent organizational structure to natural language morphology. ParaMor, our ...
ParaMor, our unsupervised morphology induction system performed well at Morpho Challenge 2008. When ...
Most of the world’s natural languages have complex morphology. But the expense of building morpholog...
The ParaMor algorithm for unsupervised morphology induction, which competed in the 2007 and 2008 Mor...
The field of statistical natural language processing has been turning toward morpholog-ically rich l...
In this work, Morfessor, a morpheme segmentation model and algorithm developed by the organizers of ...
This dissertation develops an algorithmic approach to linguistics through the study of topics in uns...
International audienceWe present an implemented algorithm for the inference of morphophonological al...
Morphological tasks use large multi-lingual datasets that organize words into inflection tables, whi...
In the Morpho Challenge 2009 unsupervised algorithms that provide morpheme anal-yses for words in di...
This paper presents an algorithm for the unsuper-vised learning of a simple morphology of a nat-ural...