![]() It also examined changes in language structure under contact, for example, in the case of Singaporean English and in the case of Mayan-Spanish contact. ![]() The project included work on such morphologically complex languages as Georgian, Mayan languages, Chukchi, and Circassian. Communities trying to revive endangered languages will benefit directly from this project. The project will make data collection easier and thus make language preservation and documentation less dependent on experts. The project made the vast amounts of linguistic data, currently only being used by researchers, available to language learners and language educators. The project allowed us to build applications that automatically correct errors, draw attention to inconsistencies and fill gaps in the data. The COULD project allows researchers to transfer existing linguistic data from a variety of different formats into a universal format. Their policies may differ from this site. Some links on this page may take you to non-federal websites. Some full text articles may not yet be available without a charge during the embargo (administrative interval). When clicking on a Digital Object Identifier (DOI) number, you will be taken to an external site maintained by the publisher. PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH In addition, the project's lesson creation application will enable users to create learning materials, which are lacking for many endangered languages, and will support communities in their efforts to teach their language to younger generations. ![]() Non-linguists interested in preserving a community's language (especially members of the community itself) will be able to use the project's online tools to document their language without relying on experts. With respect to broader impacts, the project is also of particular importance for those languages that are in threat of disappearing forever if the younger generations do not learn them. The project will assist with the integration of previously collected data into this new format, enabling this vast amount of linguistic data (currently only being used by specialists) to be accessible to second language learners, community members who would like to preserve their linguistic heritage, and other language and culture enthusiasts, in addition to other researchers. The main goal of the project is to create a new universal data format for language data, centralized online storage for this data, and a set of related online tools which will allow users all over the world to collect, preserve, and share language data more easily and more accurately. The COULD project (Cleaning, Organizing, and Uniting Linguistic Databases), a partnership between Canadian universities (Concordia and McGill) and Harvard University, is offering a solution to this problem. ![]() Unfortunately, however, much of this data resides in the personal files of these researchers, inaccessible to others interested in the language, and not in a form that enables the data to be shared easily. This data is invaluable for language education efforts and for linguistic research on the incredible diversity of the world's languages. Very few of these languages have been well documented, but for the past two decades researchers have been working with speakers of a variety of endangered languages to preserve the rich data these languages possess. Of the approximately 7,000 languages currently spoken in the world, linguists estimate that nearly half will be extinct within the next century. Primary Place of Performance Congressional District:Ġ1001415DB NSF RESEARCH & RELATED ACTIVIT 01001718DB NSF RESEARCH & RELATED ACTIVIT 01001819DB NSF RESEARCH & RELATED ACTIVIT maria polinsky (Principal Investigator) Sponsored Research Office:.Tyler Kendall BCS Division Of Behavioral and Cognitive Sci SBE Direct For Social, Behav & Economic ScieįY 2014 = $10,020.00 FY 2017 = $10,660.00 FY 2018 = $7,218.00 Cleaning, Organizing, and Uniting Linguistic Databases (the CLOUD Project) NSF Org:īCS Division Of Behavioral and Cognitive Sci
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