The study aims to describe how children worldwide progress through a sequence of theory of mind understandings in their development of insights into persons and minds. The focus is on the studies using Wellman and Liu's (2004) Theory of Mind Scale. A comprehensive search was run in PsycINFO, PsycArticles, Child Development & Adolescent Studies, Education Abstracts, Family & Society Studies Worldwide, and Social Sciences Abstracts. The dataset includes 91 studies using Wellman and Liu's (2004) Theory of Mind Scale.
Our project, mainly on Dogon languages of Mali, has branched out to Burkina Faso with emphasis on documentation of the most endangered languages. Tiefo-N was studied on an emergency basis since it was down to two aging competent speakers. For additional comments and links to a reference grammar, see the readme file.
Jalkunan is an endangered language of the Mande family, spoken in the village cluster of Blédougou in southwestern Burkina Faso. The lexical work complements a published grammar with texts. See the readme for further information.
Jalkunan is a small-population Mande language spoken in Blédougou village cluster in the Banfora plateau in SW Burkina Faso.A grammar was published electronically at Language Description Heritage Library in 2017.
http://ldh.clld.org/2017/01/01/escidoc2346932/ This is backed up at Deep Blue documents. http://hdl.handle.net/2027.42/139025 http://dogonlanguages.org/other#mande Seven texts were recorded digitally in 2016 and are archived here. Three of them (texts 1, 2, and 4) were transcribed and translated at the end of the published grammar. The remaining tapes are not transcribed as of May 2018. I give permission to other linguists to transcribe, translate, and/or analyse the remaining texts.
Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. http://dogonlanguages.org
This is the flora-fauna lexical material obtained in the course of more general lexical and grammatical fieldwork on languages of central-eastern Mali (Dogon, Songhay, Bangime, Bozo). The spreadsheets in this work, duplicated in xlsx and csv formants, present our flora-fauna lexicons as of early 2019 for many languages of central-eastern Mali, and certain languages of southwestern Burkina Faso. The Malian data is in two spreadsheets (flora, fauna), while the Burkina data is in separate spreadsheets for flora, birds, fish, insects, lizards and snakes, and mammals. Please begin with the “readme” document.
Moran, Steven & Forkel, Robert & Heath, Jeffrey (eds.) 2016. Dogon and Bangime Linguistics. Jena: Max Planck Institute for the Science of Human History. https://dogonlanguages.org and Christfried Naumann & Tom Güldemann & Steven Moran & Guillaume Segerer & Robert Forkel (eds.) 2015. Tsammalex: A lexical database on plants and animals. Leipzig: Max Planck Institute for Evolutionary Anthropology. https://tsammalex.clld.org
The spreadsheets (in csv and xlsx formats) have columns for botanical family, genus-species binomials, synonymy (outdated binomials) on the left, folllowed by columns with native terms in several Dogon languages and in Bangime. Dogon languages included are Toro Tegu, Ben Tey, Bankan Tey, Nanga, Jamsay (main dialect), Perge Tegu (Jamsay of Pergé village), Gourou (aberrant variety of Jamsay), Togo Kan, Yorno So and Ibi So (in Toro So dialect complex), Donno So, Tomo Kan (of Segué and of Diangassagou), Tomo Kan, Dogul Dom, Tebul Ure, Yanda Dom, Najamba, Tiranige, Mombo, Ampari, Bunoge, and Penange. JH in column headings indicates that the material is from Dr. Heath's fieldwork. and For images of many of these plants, see the collection "Mali flora images" in Deep Blue Data ( https://doi.org/10.7302/aef4-fk26). For a practical guide to these plants, click on the link below in "related items in Deep Blue Documents".
These materials are SPSS datasets and syntax files related to a project investigating the weight given to various moral domains when forming impressions of others. We looked at how participants' impressions of the moral character of social targets varied when provided with information that those targets behaved in ways that upheld or violated various moral domains. Following this, we also looked at whether participants' willingness to cooperate with a target changed based on those behaviors, and whether judgments following information about the social targets remained robust under cognitive load.
The research that produced this data tested how sleep loss impacted the phenomena of reactivation and replay, which occurs when recently-learned information is reactivated/replayed during post-learning sleep/rest.
Voice-cloning (VC) systems have seen an exceptional increase in the realism of synthesized speech in recent years. The high quality of synthesized speech and the availability of low-cost VC services have given rise to many potential abuses of this technology such as online smearing campaigns and dissemination of fabricated information etc. A number of detection methodologies have been proposed over the years that can detect voice spoofs with reasonably good accuracy. However, these methodologies are mostly evaluated on clean audio databases, such as Asvspoof 2019. This research aims to evaluate state-of-the-art (SOTA) Audio Spoof Detection approaches in the presence of laundering attacks. In that regard, a new laundering attack database, called ASVspoof Laundering Database, is created. This database is based on the ASVspoof 2019 LA eval database comprising a total of 1388.22 hours of audio recordings. Seven SOTA audio spoof detection approaches are evaluated on this laundered database. The results indicate that SOTA systems perform poorly in the presence of aggressive laundering attacks, especially reverberation and additive noise attacks. This suggests the need for robust audio spoof detection.