{"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/cross-lingual-models-of-word-embeddings-an","title":"Cross-lingual Models of Word Embeddings: An Empirical Comparison","arxiv_id":"1604.00425","date":"2016-04-01","proceeding":"ACL 2016 8","authors":["Shyam Upadhyay","Manaal Faruqui","Chris Dyer","Dan Roth"],"abstract":"Despite interest in using cross-lingual knowledge to learn word embeddings\nfor various tasks, a systematic comparison of the possible approaches is\nlacking in the literature. We perform an extensive evaluation of four popular\napproaches of inducing cross-lingual embeddings, each requiring a different\nform of supervision, on four typographically different language pairs. Our\nevaluation setup spans four different tasks, including intrinsic evaluation on\nmono-lingual and cross-lingual similarity, and extrinsic evaluation on\ndownstream semantic and syntactic applications. We show that models which\nrequire expensive cross-lingual knowledge almost always perform better, but\ncheaply supervised models often prove competitive on certain tasks.","url_abs":"http://arxiv.org/abs/1604.00425v2","url_pdf":"http://arxiv.org/pdf/1604.00425v2.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":"cross-lingual-models-of-word-embeddings-an","repo_url":"https://github.com/shyamupa/biling-survey","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1604.00425","atlas_url":"https://app.syntology.ai/?focus=1604.00425","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}