164 research outputs found

    Kentucky Foster Care/Adoption Ban Cost Estimate

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    This memo estimates the impact on children and the cost to the State of Kentucky of Senate Bill 68, "The Child Welfare Adoption Act," which would prohibit unmarried cohabiting couples -- including both different-sex couples and same-sex couples -- from fostering or adopting children. We use past data to estimate the number of children in foster care who were placed with unmarried couples as a way to estimate the number of impacted children in the first year the proposed legislation would take effect. Prohibiting unmarried couples from fostering or adopting would reduce the number of foster and adoptive families available to care for the 7,027 children currently in foster care. We estimate that 630 foster children will be removed from their current homes and placements during the first year that the ban is in effect. In addition, 85 children in foster care will either not be adopted or remain in foster care longer because the ban will prohibit their adoption by unmarried couples. As a result, the ban will cost the State of Kentucky over $5.3 million in the first year. As explained below, this estimate is conservative since some likely additional costs are difficult to quantify

    An Interactive Visual Database for American Sign Language Reveals How Signs are Organized in the Mind

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    We are four researchers who study psycholinguistics, linguistics, neuroscience and deaf education. Our team of deaf and hearing scientists worked with a group of software engineers to create the ASL-LEX database that anyone can use for free. We cataloged information on nearly 3,000 signs and built a visual, searchable and interactive database that allows scientists and linguists to work with ASL in entirely new ways

    The ASL-LEX 2.0 Project: A Database of Lexical and Phonological Properties for 2,723 Signs in American Sign Language

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    ASL-LEX is a publicly available, large-scale lexical database for American Sign Language (ASL). We report on the expanded database (ASL-LEX 2.0) that contains 2,723 ASL signs. For each sign, ASL-LEX now includes a more detailed phonological description, phonological density and complexity measures, frequency ratings (from deaf signers), iconicity ratings (from hearing non-signers and deaf signers), transparency (“guessability”) ratings (from non-signers), sign and videoclip durations, lexical class, and more. We document the steps used to create ASL-LEX 2.0 and describe the distributional characteristics for sign properties across the lexicon and examine the relationships among lexical and phonological properties of signs. Correlation analyses revealed that frequent signs were less iconic and phonologically simpler than infrequent signs and iconic signs tended to be phonologically simpler than less iconic signs. The complete ASL-LEX dataset and supplementary materials are available at https://osf.io/zpha4/ and an interactive visualization of the entire lexicon can be accessed on the ASL-LEX page: http://asl-lex.org/
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