FuzzyLemon materialised translations ApertiumRDF Jan2022

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Dataset information

Country of origin
Updated
2022.06.29 00:00
Created
2022.06.28
Available languages
English
Keywords
Apertium RDF, FuzzyLemon, ontolex, inferred translations, Cycles, Bilingual dictionaries, RDF, Linguistic linked data, WP3
Quality scoring

Dataset description

Set of translations inferred on January 2022 with the Cycles based algorithm [1,2] from the Apertium RDF v2 graph, between the following language pairs (not initially connected in the Apertium RDF graph): EN-FR, EO-IT, FR-IT, SC-EO, SC-FR The translations and their computed confidence degree were "materialised" using the following ontologies: FuzzyLemon, Ontolex lemon, and PROV-O and represented in turtle RDF. More information at https://github.com/sid-unizar/fuzzy-lemon-translations and in Bobillo et al. (2022) [3]. --------- [1] Lanau-Coronas, M., & Gracia, J. (2020, May). Graph Exploration and Cross-lingual Word Embeddings for Translation Inference Across Dictionaries. In Proceedings of the 2020 Globalex Workshop on Linked Lexicography (pp. 106-110). [2] Villegas, M., Melero, M., Gracia, J., & Bel, N. (2016). Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries. In N. C. C. Chair, K. Choukri, T. Declerck, S. Goggi, M. Grobelnik, B. Maegaard, J. Mariani, H. Mazo, A. Moreno, J. Odijk, & S. Piperidis (Eds.), Proc. of 10th Language Resources and Evaluation Conference (LREC’16) Portorož (Slovenia) (pp. 868–876). European Language Resources Association (ELRA).  [3] Fernando Bobillo, Julia Bosque-Gil, Jorge Gracia, & Marta Lanau-Coronas. (2022). Fuzzy Lemon: Making lexical semantic relations more juicy. Proc. of the 8th Workshop on Linked Data in Linguistics (LDL 2022). Workshop at LREC 2022
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