Ewa Rudnicka

A Semi-automatic Adjective Mapping Between plWordNet and Princeton WordNet

The paper presents the methodology and results of a pilot stage of semi-automatic adjective mapping between plWordNet and Princeton WordNet. Two types of rule-based algorithms aimed at generation of automatic prompts are proposed. Both capitalise on the existing network of intra and inter-lingual relations as well as on lemma filtering by a cascade dictionary. The results of their implementation are juxtaposed with the results of manual mapping. The highest precision is achieved in a hybrid approach relying on both synset and lexical unit relations.

Towards Equivalence Links between Senses in PlWordNet and Princeton WordNet

Abstract The paper focuses on the issue of creating equivalence links in the domain of bilingual computational lexicography. The existing interlingual links between plWordNet and Princeton WordNet synsets (sets of synonymous lexical units – lemma and sense pairs) are re-analysed from the perspective of equivalence types as defined in traditional lexicography and translation. Special attention is paid to cognitive and translational equivalents. A proposal of mapping lexical units is presented. Three types of links are defined: super-strong equivalence, strong equivalence and weak implied equivalence. The strong equivalences have a common set of formal, semantic and usage features, with some of their values slightly loosened for strong equivalence. These will be introduced manually by trained lexicographers. The sense-mapping will partly draw on the results of the existing synset mapping. The lexicographers will analyse lists of pairs of synsets linked by interlingual relations such as synonymy, partial synonymy, hyponymy and hypernymy. They will also consult bilingual dictionaries and check translation probabilities in a parallel corpus. The results of the proposed mapping have great application potential in the area of natural language processing, translation and language learning.