4 datasets found
  1. g

    Domestic and International Common Language Database (DICL) | gimi9.com

    • gimi9.com
    Updated Mar 6, 2021
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    (2021). Domestic and International Common Language Database (DICL) | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_domestic-and-international-common-language-database-dicl
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    Dataset updated
    Mar 6, 2021
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The database contains index measures of linguistic similarity both domestically and internationally. The domestic measures capture linguistic similarities present among populations within a single country while the international indexes capture language similarities between two different countries. The indexes reflect three aspects of language: common official languages, common native languages, and linguistic proximity across languages.

  2. d

    Data from: Domestic and International Common Language Database (DICL)

    • researchdiscovery.drexel.edu
    Updated Mar 5, 2021
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    Tamara Gurevich; Peter Herman; Farid Toubal; Yoto Yotov (2021). Domestic and International Common Language Database (DICL) [Dataset]. https://researchdiscovery.drexel.edu/esploro/outputs/dataset/Domestic-and-International-Common-Language-Database/991022032773104721
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    Dataset updated
    Mar 5, 2021
    Dataset provided by
    United States International Trade Commission
    Authors
    Tamara Gurevich; Peter Herman; Farid Toubal; Yoto Yotov
    Time period covered
    2024
    Description

    The database contains index measures of linguistic similarity both domestically and internationally. The domestic measures capture linguistic similarities present among populations within a single country while the international indexes capture language similarities between two different countries. The 8 indices reflect three different aspects of language: common official languages, common native and acquired spoken languages, and linguistic proximity across different languages. This database has many uses, such as in models of bilateral flows—including FDI, migration, and international trade—as well as in regional or country level analyses. Extensive and detailed coverage: Bilateral indexes for 242 countries Based on 6,674 individual languages

  3. d

    Data from: Domestic and International Common Language Database (DICL)

    • catalog.data.gov
    Updated Apr 6, 2021
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    Office of Economics (2021). Domestic and International Common Language Database (DICL) [Dataset]. https://catalog.data.gov/dataset/domestic-and-international-common-language-database-dicl
    Explore at:
    Dataset updated
    Apr 6, 2021
    Dataset provided by
    Office of Economics
    Description

    The database contains index measures of linguistic similarity both domestically and internationally. The domestic measures capture linguistic similarities present among populations within a single country while the international indexes capture language similarities between two different countries. The indexes reflect three aspects of language: common official languages, common native languages, and linguistic proximity across languages.

  4. H

    Domestic and International Common Language (DICL) Database

    • dataverse.harvard.edu
    Updated Dec 5, 2024
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    Tamara Gurevich; Peter Herman; Farid Toubal; Yoto Yotov (2024). Domestic and International Common Language (DICL) Database [Dataset]. http://doi.org/10.7910/DVN/8WGJTL
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Dec 5, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Tamara Gurevich; Peter Herman; Farid Toubal; Yoto Yotov
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The database contains 11 index measures of linguistic similarity between 242 countries, both domestically and internationally. The domestic measures capture linguistic similarities present among populations within a single country while the international indexes capture language similarities between two different countries. The indexes, which are based on 6,674 languages, reflect three different dimensions of language: common official languages, common native and acquired spoken languages, and linguistic proximity across different languages. This database has many uses, such as in the study of bilateral flows—including FDI, migration, and international trade—as well as in regional or country level analyses. Version history: Version 2 (Dec. 2024): Version 2 of the Dataset added three additional indices (BPN, BPA, and BPS). It also corrected an issue with the calculation of the linguistic proximity indices in version 1; a small number of languages that terminated at the same point on a linguistic tree were unintentionally treated as being the same language and were omitted from the LPN, LPA, and LPS calculations. This omission affected relatively few indices overall and very few indices significantly. However, a small number of linguistic proximity indices are substantially larger after the correction. Finally, version 2 also reintroduced one language that had been inadvertently omitted in version 1, resulting in a small change to the index values for several countries, primarily in East and Southeast Asia. Version 1 (Mar. 2024): Initial release on Dataverse.

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Click to copy link
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(2021). Domestic and International Common Language Database (DICL) | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_domestic-and-international-common-language-database-dicl

Domestic and International Common Language Database (DICL) | gimi9.com

Explore at:
Dataset updated
Mar 6, 2021
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Description

The database contains index measures of linguistic similarity both domestically and internationally. The domestic measures capture linguistic similarities present among populations within a single country while the international indexes capture language similarities between two different countries. The indexes reflect three aspects of language: common official languages, common native languages, and linguistic proximity across languages.

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