000121311 001__ 121311
000121311 005__ 20230526092856.0
000121311 0248_ $$2sideral$$a131934
000121311 037__ $$aART-2021-131934
000121311 041__ $$aeng
000121311 100__ $$0(orcid)0000-0001-6452-7627$$aGracia, Jorge$$uUniversidad de Zaragoza
000121311 245__ $$aResults of the Translation Inference Across Dictionaries 2021 Shared Task
000121311 260__ $$c2021
000121311 5060_ $$aAccess copy available to the general public$$fUnrestricted
000121311 5203_ $$aThe objective of the Translation Inference Across Dictionaries (TIAD) shared task is to explore and compare methods and techniques that infer translations indirectly between language pairs, based on other bilingual/multilingual lexicographic resources. In this forth edition the participating systems were asked to generate new translations automatically among three languages - English, French, Portuguese - based on known indirect translations contained in the Apertium RDF graph. Such evaluation pairs have been the same during the three last TIAD editions. The main novelty this time has been the use of a larger graph as a basis to produce the translations, which is the Apertium RDF v2, and the introduction of improved evaluation metrics. The evaluation of the results was carried out by the organisers against manually compiled language pairs of K Dictionaries. For the first time in the TIAD series, some systems beat the proposed baselines. This paper gives an overall description of the shard task, the evaluation data and methodology, and the systems’ results.
000121311 536__ $$9info:eu-repo/grantAgreement/ES/AEI/PID2020-113903RB-I00$$9info:eu-repo/grantAgreement/EC/H2020/731015/EU/European Lexicographic Infrastructure/ELEXIS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 731015-ELEXIS$$9info:eu-repo/grantAgreement/EC/H2020/825182/EU/Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors/Pret-a-LLOD$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 825182-Pret-a-LLOD$$9info:eu-repo/grantAgreement/ES/MINECO/RYC2019-028112-I
000121311 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000121311 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000121311 700__ $$aKabashi, Besim
000121311 700__ $$aKernerman, IIan
000121311 7102_ $$15007$$2570$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Lenguajes y Sistemas Inf.
000121311 773__ $$g3064 (2021), 208-220$$pCEUR workshop proc.$$tCEUR Workshop Proceedings$$x1613-0073
000121311 8564_ $$s866827$$uhttps://zaguan.unizar.es/record/121311/files/texto_completo.pdf$$yVersión publicada
000121311 8564_ $$s1341527$$uhttps://zaguan.unizar.es/record/121311/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000121311 85641 $$uhttps://www.ceur-ws.org/Vol-3064/tiad4.pdf$$zTexto completo de la revista
000121311 909CO $$ooai:zaguan.unizar.es:121311$$particulos$$pdriver
000121311 951__ $$a2023-05-26-08:14:01
000121311 980__ $$aARTICLE