{"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/rdf2pt-generating-brazilian-portuguese-texts","title":"RDF2PT: Generating Brazilian Portuguese Texts from RDF Data","arxiv_id":"1802.08150","date":"2018-02-22","proceeding":"LREC 2018 5","authors":["Diego Moussallem","Thiago castro Ferreira","Marcos Zampieri","Maria Claudia Cavalcanti","Geraldo Xexéo","Mariana Neves","Axel-Cyrille Ngonga Ngomo"],"abstract":"The generation of natural language from Resource Description Framework (RDF)\ndata has recently gained significant attention due to the continuous growth of\nLinked Data. A number of these approaches generate natural language in\nlanguages other than English, however, no work has been proposed to generate\nBrazilian Portuguese texts out of RDF. We address this research gap by\npresenting RDF2PT, an approach that verbalizes RDF data to Brazilian Portuguese\nlanguage. We evaluated RDF2PT in an open questionnaire with 44 native speakers\ndivided into experts and non-experts. Our results suggest that RDF2PT is able\nto generate text which is similar to that generated by humans and can hence be\neasily understood.","url_abs":"http://arxiv.org/abs/1802.08150v1","url_pdf":"http://arxiv.org/pdf/1802.08150v1.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":"rdf2pt-generating-brazilian-portuguese-texts","repo_url":"https://github.com/dice-group/RDF2PT","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":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}