Automated dating of the world language families

By quantifying vocabulary differences across languages of a family, the date at which a family’s parent language was most recently spoken is determined.The database used, compiled over several years by the ASJP consortium, is of unprecedented size, covering over half of the world’s more than 6000 languages.We participate in the Donders Institute for Brain, Cognition and Behaviour, and have particularly close ties to that institute's Centre for Cognitive Neuroimaging.(Phys Org.com) -- A computerized method for determining when prehistoric languages were spoken has been developed by an international group of scholars known as the ASJP (Automated Similarity Judgment Program) consortium.If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons.In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website.ASJP is anchored in the Linguistics Department of the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany.

Our mission is to undertake basic research into the psychological,social and biological foundations of language.The new method, building on an earlier approach known as glottochronology, calculates dates for parent languages of all of the world’s language families including such groups as Indo-European, Austronesian, and Mayan.It is based on the observation that the greater the linguistic differentiation within a family, the greater the period of time required for that differentiation to accrue.The Automated Similarity Judgment Program (ASJP) is a collaborative project applying computational approaches to comparative linguistics using a database of word lists.The database is open access and consists of 40-item basic-vocabulary lists for well over half of the world's languages. In addition to isolates and languages of demonstrated genealogical groups, the database includes pidgins, creoles, mixed languages, and constructed languages.Covariates such as these can impact significantly on the estimated divergence time.

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