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2014
- handle: 10670/1.ob89mw
- hal: hal-01111869
info:eu-repo/semantics/OpenAccess
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Nabil Hathout et al., « Acquisition and enrichment of morphological and morphosemantic knowledge from the French Wiktionary », HAL-SHS : linguistique, ID : 10670/1.ob89mw
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Résumé
We present two approaches to automatically acquire morphologically related words from Wiktionary. Starting with related words explicitly mentioned in the dictionary, we propose a method based on orthographic similarity to detect new derived words from the entries' definitions with an overall accuracy of 93.5%. Using word pairs from the initial lexicon as patterns of formal analogies to filter new derived words enables us to rise the accuracy up to 99%, while extending the lexicon's size by 56%. In a last experiment, we show that it is possible to semantically type the morphological definitions, focusing on the detection of process nominals.