{"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/new-word-analogy-corpus-for-exploring","title":"New word analogy corpus for exploring embeddings of Czech words","arxiv_id":"1608.00789","date":"2016-08-02","proceeding":null,"authors":["Lukáš Svoboda","Tomáš Brychcín"],"abstract":"The word embedding methods have been proven to be very useful in many tasks\nof NLP (Natural Language Processing). Much has been investigated about word\nembeddings of English words and phrases, but only little attention has been\ndedicated to other languages.\n  Our goal in this paper is to explore the behavior of state-of-the-art word\nembedding methods on Czech, the language that is characterized by very rich\nmorphology. We introduce new corpus for word analogy task that inspects\nsyntactic, morphosyntactic and semantic properties of Czech words and phrases.\nWe experiment with Word2Vec and GloVe algorithms and discuss the results on\nthis corpus. The corpus is available for the research community.","url_abs":"http://arxiv.org/abs/1608.00789v1","url_pdf":"http://arxiv.org/pdf/1608.00789v1.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":"new-word-analogy-corpus-for-exploring","repo_url":"https://github.com/Svobikl/cz_corpus","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"word-embeddings","task_name":"Word Embeddings"}],"methods":[{"method_slug":"glove","method_name":"GloVe"}],"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}