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{ "pk": 25832, "title": "A Computational Evaluation of Two Laws of Semantic Change", "subtitle": null, "abstract": "For more than a century scholars have proposed laws of se-\nmantic change that characterize how words change in meaning\nover time. Two such laws are the law of differentiation, which\nproposes that near-synonyms tend to differentiate in meaning\nover time, and the law of parallel change, which proposes that\nrelated words tend to undergo parallel changes in meaning. Re-\nsearchers have identified a handful of changes that are consis-\ntent with each proposed law, but there are no systematic eval-\nuations that assess the validity and generality of these compet-\ning laws. Here we evaluate these laws by using a large corpus\nto assess how thousands of related words changed in meaning\nover the twentieth century. Our analyses show that the law of\nparallel change applies more broadly than the law of differ-\nentiation, and thereby illustrate how large-scale computational\nanalyses can place laws of semantic change on a more secure\nfooting.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [ { "word": "semantic change; law of differentiation; law of\nparallel change; computational semantics" } ], "section": "Papers", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/6301h6rd", "frozenauthors": [ { "first_name": "Yang", "middle_name": "", "last_name": "Xu", "name_suffix": "", "institution": "University of California, Berkeley", "department": "" }, { "first_name": "Charles", "middle_name": "", "last_name": "Kemp", "name_suffix": "", "institution": "Carnegie Mellon University", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2015-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25832/galley/15456/download/" } ] }