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{ "pk": 26950, "title": "Optimization of American English, Spanish, and Mandarin Chinese over time forefficient communication", "subtitle": null, "abstract": "Frequent words tend to be short, and many researchers haveproposed that this relationship reflects a tendency towards ef-ficient communication. Recent work has sought to formalizethis observation in the context of information theory, which es-tablishes a limit on communicative efficiency called the chan-nel capacity. In this paper, I first show that the compositionalstructure of natural language prevents natural language com-munication from getting close to the channel capacity, but thata different limit, which incorporates probability in context,may be achievable. Next, I present two corpus studies in threetypologically-diverse languages that provide evidence that lan-guages change over time towards the achievable limit. Theseresults suggest that natural language optimizes for efficiencyover time, and does so in a way that is appopriate for compo-sitional codes.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "Communicative efficiency; Uniform InformationDensity; Smooth Signal Hypothesis; Noisy channel" } ], "section": "Talks: Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/3m77c97x", "frozenauthors": [ { "first_name": "John", "middle_name": "K.", "last_name": "Pate", "name_suffix": "", "institution": "University at Buffalo", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2017-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26950/galley/16586/download/" } ] }