{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/lidioms-a-multilingual-linked-idioms-data-set","title":"LIDIOMS: A Multilingual Linked Idioms Data Set","arxiv_id":"1802.08148","date":"2018-02-22","proceeding":"LREC 2018 5","authors":["Diego Moussallem","Mohamed Ahmed Sherif","Diego Esteves","Marcos Zampieri","Axel-Cyrille Ngonga Ngomo"],"abstract":"In this paper, we describe the LIDIOMS data set, a multilingual RDF\nrepresentation of idioms currently containing five languages: English, German,\nItalian, Portuguese, and Russian. The data set is intended to support natural\nlanguage processing applications by providing links between idioms across\nlanguages. The underlying data was crawled and integrated from various sources.\nTo ensure the quality of the crawled data, all idioms were evaluated by at\nleast two native speakers. Herein, we present the model devised for structuring\nthe data. We also provide the details of linking LIDIOMS to well-known\nmultilingual data sets such as BabelNet. The resulting data set complies with\nbest practices according to Linguistic Linked Open Data Community.","url_abs":"http://arxiv.org/abs/1802.08148v1","url_pdf":"http://arxiv.org/pdf/1802.08148v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"lidioms-a-multilingual-linked-idioms-data-set","repo_url":"https://github.com/dice-group/LIdioms","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1802.08148","atlas_url":"https://app.syntology.ai/?focus=1802.08148","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}