{"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/predicting-concreteness-and-imageability-of","title":"Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddings","arxiv_id":"1807.02903","date":"2018-07-09","proceeding":null,"authors":["Nikola Ljubešić","Darja Fišer","Anita Peti-Stantić"],"abstract":"The notions of concreteness and imageability, traditionally important in\npsycholinguistics, are gaining significance in semantic-oriented natural\nlanguage processing tasks. In this paper we investigate the predictability of\nthese two concepts via supervised learning, using word embeddings as\nexplanatory variables. We perform predictions both within and across languages\nby exploiting collections of cross-lingual embeddings aligned to a single\nvector space. We show that the notions of concreteness and imageability are\nhighly predictable both within and across languages, with a moderate loss of up\nto 20% in correlation when predicting across languages. We further show that\nthe cross-lingual transfer via word embeddings is more efficient than the\nsimple transfer via bilingual dictionaries.","url_abs":"http://arxiv.org/abs/1807.02903v1","url_pdf":"http://arxiv.org/pdf/1807.02903v1.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":"predicting-concreteness-and-imageability-of","repo_url":"https://github.com/clarinsi/megahr-crossling","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"cross-lingual-transfer","task_name":"Cross-Lingual Transfer"},{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1807.02903","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}