DeriNet is a lexical network modeling derivational and compositional relations in Czech. The nodes of the network represent Czech lexemes, while the edges capture word-formational relations between derived words and their base word(s). The current version, DeriNet 2.3, introduces several key improvements over version 2.2:
(a) the set of 1,040,126 lexemes is aligned with the latest version of MorfFlex CZ (version 2.1),
(b) 5,781 derivational trees containing loanwords are enriched with etymological information specifying their origins, adopted from the Czech Etymological Lexicon,
(c) 8,867 new derivational and 1,262 new compound relations have been identified, resulting in a total of 791,771 derivational and 7,598 compound relations, and
(d) the morphological segmentation and classification of morphs have been significantly enhanced.
Universal Derivations (UDer) is a collection of harmonized lexical networks capturing word-formation, especially derivational relations, in a cross-linguistically consistent annotation scheme for many languages. The annotation scheme is based on a rooted tree data structure, in which nodes correspond to lexemes, while edges represent derivational relations or compounding.
The current version of the UDer collection contains eleven harmonized resources covering eleven different languages.
Universal Derivations (UDer) is a collection of harmonized lexical networks capturing word-formation, especially derivational relations, in a cross-linguistically consistent annotation scheme for many languages. The annotation scheme is based on a rooted tree data structure, in which nodes correspond to lexemes, while edges represent derivational relations or compounding. The current version of the UDer collection contains twenty-seven harmonized resources covering twenty different languages.
Universal Derivations (UDer) is a collection of harmonized lexical networks capturing word-formation, especially derivational relations, in a cross-linguistically consistent annotation scheme for many languages. The annotation scheme is based on a rooted tree data structure, in which nodes correspond to lexemes, while edges represent derivational relations or compounding. The current version of the UDer collection contains thirty-one harmonized resources covering twenty-one different languages.