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The CQC Algorithm: Cycling in Graphs to Semantically Enrich and Enhance a Bilingual Dictionary: Extended abstract

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Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 3151-3154.

Abstract

Bilingual machine-readable dictionaries are knowledge resources useful in many automatic tasks.However, compared to monolingual computational lexicons like WordNet, bilingual dictionaries typically provide a lower amount of structured information such as lexical and semantic relations, and often do not cover the entire range of possible translations for a word of interest. In this paper we present Cycles and Quasi-Cycles (CQC), a novel algorithm for the automated disambiguation of ambiguous translations in the lexical entries of a bilingual machine-readable dictionary.

Tiziano Flati, and Roberto Navigli. 2013. The CQC Algorithm: Cycling in Graphs to Semantically Enrich and Enhance a Bilingual Dictionary: Extended abstract. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13. IJCAI, 3151–3154. https://ijcai.org/proceedings/2013/476
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