{"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/to-the-methodology-of-corpus-construction-for","title":"To the methodology of corpus construction for machine learning:“Taiga” syntax tree corpus and parser","arxiv_id":null,"date":"2017-07-01","proceeding":"“CORPORA” 2017 7","authors":["Tatiana Shavrina","Olga Shapovalova"],"abstract":"The “Taiga” project unites the corpus and the syntactic parser, being created in a new field of the corpus linguistics: the material obtained primarily meets the needs of machine learning, rather than linguistic search. The authors consider in detail the methodology for constructing the corpus, balance, volume and composition of its’ segments, format and quality of tagging—which meets the current requirements for the development of tools for processing Russian language. Within the framework of the project, the creation of a large and open-source syntactic corpus in the Universal dependencies format is planned.","url_abs":"https://core.ac.uk/download/pdf/217184347.pdf#page=78","url_pdf":"https://core.ac.uk/download/pdf/217184347.pdf#page=78","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":"to-the-methodology-of-corpus-construction-for","repo_url":"https://github.com/TatianaShavrina/taiga_site","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[{"slug":"taiga-corpus","name":"Taiga Corpus","full_name":"An open-source corpus for machine learning."}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}