{"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/uralicnlp-an-nlp-library-for-uralic-languages","title":"UralicNLP: An NLP Library for Uralic Languages","arxiv_id":null,"date":"2019-05-09","proceeding":"Journal of Open Source Software 2019 5","authors":["Mika Hämäläinen"],"abstract":"UralicNLP is a natural language processing library for small Uralic languages. It can produce morphological analysis, generate morphological forms, lemmatize words and give lexical information about words in Uralic languages. At the time of writing, the following languages are supported: Skolt Sami, Ingrian, Meadow & Eastern Mari, Votic, Olonets-Karelian, Erzya, Moksha, Hill Mari, Udmurt, Tundra Nenets, Komi-Permyak and Finnish. This information originates from FST tools and dictionaries developed in the Giellatekno infrastructure. Currently, UralicNLP uses the nightly builds for languages supported by Apertium and less frequently updated FSTs and CGs for the other languages.","url_abs":"https://www.theoj.org/joss-papers/joss.01345/10.21105.joss.01345.pdf","url_pdf":"https://www.theoj.org/joss-papers/joss.01345/10.21105.joss.01345.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":"uralicnlp-an-nlp-library-for-uralic-languages","repo_url":"https://github.com/mikahama/uralicNLP","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"morphological-analysis","task_name":"Morphological Analysis"}],"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}