ParaMor: Finding Paradigms across Morphology1
نویسندگان
چکیده
ParaMor automatically learns morphological paradigms from unlabelled text, and uses them to annotate word forms with morpheme boundaries. ParaMor competed in the English and German tracks of Morpho Challenge 2007 (Kurimo et al., 2008). In English, ParaMor’s balanced precision and recall outperform at F1 an already sophisticated baseline induction algorithm, Morfessor (Creutz, 2006). In German, ParaMor suffers from a low morpheme recall. But combining ParaMor’s analyses with analyses from Morfessor results in a set of analyses that outperform either algorithm alone, and that place first in F1 among all algorithms submitted to Morpho Challenge 2007. Categories and Subject Descriptions: I.2 [Artificial Intelligence]: I.2.7 Natural Language Processing
منابع مشابه
ParaMor: Finding Paradigms across Morphology
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 ...
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