Blackfoot Words: a database of Blackfoot lexical forms.

Algonquian Blackfoot Language change Language variation Lexical database

Journal

Language resources and evaluation
ISSN: 1574-020X
Titre abrégé: Lang Resour Eval
Pays: Netherlands
ID NLM: 101262174

Informations de publication

Date de publication:
31 Mar 2023
Historique:
accepted: 07 12 2022
pubmed: 26 6 2023
medline: 26 6 2023
entrez: 26 6 2023
Statut: aheadofprint

Résumé

This paper describes the structure and creation of Blackfoot Words, a new relational database of lexical forms (inflected words, stems, and morphemes) in Blackfoot (Algonquian; ISO 639-3: bla). To date, we have digitized 63,493 individual lexical forms from 30 sources, representing all four major dialects, and spanning the years 1743-2017. Version 1.1 of the database includes lexical forms from nine of these sources. This project has two aims. The first is to digitize and provide access to the lexical data in these sources, many of which are difficult to access and discover. The second is to organize the data so that connections can be made between instances of the "same" lexical form across all sources, despite variation across sources in the dialect recorded, orthographic conventions, and the depth of morpheme analysis. The database structure was developed in response to these aims. The database comprises five tables: Sources, Words, Stems, Morphemes, and Lemmas. The Sources table contains bibliographic information and commentary on the sources. The Words table contains inflected words in the source orthography. Each word is broken down into stems and morphemes which are entered into the Stems and Morphemes tables in the source orthography. The Lemmas table contains abstract versions of each stem or morpheme in a standardized orthography. Instances of the same stem or morpheme are linked to a common lemma. We expect that the database will support projects by the language community and other researchers.

Identifiants

pubmed: 37360262
doi: 10.1007/s10579-022-09631-2
pii: 9631
pmc: PMC10064632
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1-56

Informations de copyright

© The Author(s) 2023.

Déclaration de conflit d'intérêts

Conflict of interestNot applicable.

Auteurs

Natalie Weber (N)

Yale University, New Haven, USA.

Tyler Brown (T)

Yale University, New Haven, USA.

Joshua Celli (J)

Yale University, New Haven, USA.

McKenzie Denham (M)

Yale University, New Haven, USA.

Hailey Dykstra (H)

Yale University, New Haven, USA.

Rodrigo Hernandez-Merlin (R)

Yale University, New Haven, USA.

Evan Hochstein (E)

Yale University, New Haven, USA.

Pinyu Hwang (P)

Yale University, New Haven, USA.

Nico Kidd (N)

Yale University, New Haven, USA.

Diana Kulmizev (D)

Yale University, New Haven, USA.

Hannah Morrison (H)

Yale University, New Haven, USA.

Matty Norris (M)

Yale University, New Haven, USA.

Lena Venkatraman (L)

Yale University, New Haven, USA.

Classifications MeSH