MorphyNet: a Large Multilingual Database of Derivational and Inflectional Morphology
Khuyagbaatar Batsuren, Gábor Bella, Fausto Giunchiglia · 2021
Large-scale morphological databases provide essential input to a wide range of NLP applications.Inflectional data is of particular importance for morphologically rich (agglutinative and highly inflecting) languages, and derivations can be used, e.g. to infer the semantics of out-of-vocabulary words.Extending the scope of state-of-the-art multilingual morphological databases, we announce the release of Mor-phyNet, a high-quality resource with 15 languages, 519k derivational and 10.1M inflectional entries, and a rich set of morphological features.MorphyNet was extracted from Wiktionary using both hand-crafted and automated methods, and was manually evaluated to be of a precision higher than 98%.Both the resource generation logic and the resulting database are made freely available 12 and are reusable as stand-alone tools or in combination with existing resources.