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Inferring translation candidates for multilingual dictionary generation with multi-way neural machine translation.

, , , and . TIAD@LDK, volume 2493 of CEUR Workshop Proceedings, page 13-23. CEUR-WS.org, (2019)

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Translating Ontologies in Real-World Settings., , and . ISWC (2), volume 9982 of Lecture Notes in Computer Science, page 241-256. (2016)OTTO - Ontology Translation System., , , and . ISWC (Posters & Demos), volume 1486 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)WordNet Gloss Translation for Under-resourced Languages using Multilingual Neural Machine Translation., , and . MomenT@MTSummit, page 1-7. European Association for Machine Translation, (2019)MONNET: Multilingual Ontologies for Networked Knowledge., and . MTSummit (European projects), (2013)Experiments with Term Translation., , and . COLING, page 67-82. Indian Institute of Technology Bombay, (2012)MixedEmotions: Social Semantic Emotion Analysis for Innovative Multilingual Big Data Analytics Markets., and . EAMT, European Association for Machine Translation, (2015)Identifying main obstacles for statistical machine translation of morphologically rich South Slavic languages., and . EAMT, European Association for Machine Translation, (2015)PICKD: In-Situ Prompt Tuning for Knowledge-Grounded Dialogue Generation., , , and . PAKDD (4), volume 13938 of Lecture Notes in Computer Science, page 124-136. Springer, (2023)Language Related Issues for Machine Translation between Closely Related South Slavic Languages., , and . VarDial@COLING, page 43-52. The COLING 2016 Organizing Committee, (2016)The ESSOT System Goes Wild: an Easy Way For Translating Ontologies., , and . ISWC (Posters & Demos), volume 1690 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)