{"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/prosodic-features-from-large-corpora-of-child","title":"Prosodic Features from Large Corpora of Child-Directed Speech as Predictors of the Age of Acquisition of Words","arxiv_id":"1709.09443","date":"2017-09-27","proceeding":null,"authors":["Lea Frermann","Michael C. Frank"],"abstract":"The impressive ability of children to acquire language is a widely studied\nphenomenon, and the factors influencing the pace and patterns of word learning\nremains a subject of active research. Although many models predicting the age\nof acquisition of words have been proposed, little emphasis has been directed\nto the raw input children achieve. In this work we present a comparatively\nlarge-scale multi-modal corpus of prosody-text aligned child directed speech.\nOur corpus contains automatically extracted word-level prosodic features, and\nwe investigate the utility of this information as predictors of age of\nacquisition. We show that prosody features boost predictive power in a\nregularized regression, and demonstrate their utility in the context of a\nmulti-modal factorized language models trained and tested on child-directed\nspeech.","url_abs":"http://arxiv.org/abs/1709.09443v1","url_pdf":"http://arxiv.org/pdf/1709.09443v1.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":"prosodic-features-from-large-corpora-of-child","repo_url":"https://github.com/ColiLea/prosodyAOA","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"torch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}