{"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/modeling-the-complexity-and-descriptive-1","title":"Modeling the Complexity and Descriptive Adequacy of Construction Grammars","arxiv_id":"1904.05588","date":"2019-04-11","proceeding":"WS 2018 1","authors":["Jonathan Dunn"],"abstract":"This paper uses the Minimum Description Length paradigm to model the\ncomplexity of CxGs (operationalized as the encoding size of a grammar)\nalongside their descriptive adequacy (operationalized as the encoding size of a\ncorpus given a grammar). These two quantities are combined to measure the\nquality of potential CxGs against unannotated corpora, supporting\ndiscovery-device CxGs for English, Spanish, French, German, and Italian. The\nresults show (i) that these grammars provide significant generalizations as\nmeasured using compression and (ii) that more complex CxGs with access to\nmultiple levels of representation provide greater generalizations than\nsingle-representation CxGs.","url_abs":"http://arxiv.org/abs/1904.05588v1","url_pdf":"http://arxiv.org/pdf/1904.05588v1.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":"modeling-the-complexity-and-descriptive-1","repo_url":"https://github.com/jonathandunn/c2xg","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"descriptive","task_name":"Descriptive"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}