4,401 to 4,410 of 11,020 Results
Adobe PDF - 302.6 KB -
MD5: 5f9e2eb7acb9e2a35888e0408adad7d4
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Sep 3, 2025
Zhang, Liulin, 2025, "Replication data for: Measure schematicity through information content: A quantitative approach to grammaticalization", https://doi.org/10.18710/APTUHA, DataverseNO, V1
This is a study to propose a quantitative method to compute the schematicity of constructions, which is a key indicator of the level of grammaticalization of morphemes. In this method, to estimate the schematicity of a schema made up of two morphemes, i.e., X_ (X is the target morpheme and _ represents an open slot), we need to know the total token... |
Sep 3, 2025 -
Replication data for: Measure schematicity through information content: A quantitative approach to grammaticalization
Plain Text - 8.9 KB -
MD5: 6024abade0c3d2c1ff18d7ab76861e7f
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Sep 3, 2025 -
Replication data for: Measure schematicity through information content: A quantitative approach to grammaticalization
Comma Separated Values - 4.7 MB -
MD5: bd8faebbd6077ee5bf232aacb38b328b
Morpheme bigrams of the Manually Annotated Sub-Corpus (MASC) of the Open American National Corpus (https://anc.org/data/masc/). The first column “FrequencyRank” is the frequency rank of the bigram. The second column “Frequency” is the frequency of the bigram. The third column “M1” is the first morpheme of the bigram. The fourth column “M2” is the s... |
Sep 3, 2025 -
Replication data for: Measure schematicity through information content: A quantitative approach to grammaticalization
Comma Separated Values - 2.1 MB -
MD5: 0e9e0118de614fd29ebbd10ae979300b
Morpheme bigrams of the self-built corpora of five historical periods of Chinese. The first column “Frequency” is the frequency of the bigram. The second column “C1” is the first morpheme of the bigram. The third column “C2” is the second morpheme of the bigram. The fourth column “C1Frequency” is the frequency of the first morpheme of the bigram. T... |
Aug 30, 2024
Arctic Indigenous languages and revitalization: an online educational resource, 2023, "Arctic Indigenous Peoples languages and revitalization map", https://doi.org/10.18710/Y21DH0, DataverseNO, V2
Dataset containing (5) GIS shapefiles which can be used to visualize a circumpolar overview map of geographical language speaker areas for Arctic Indigenous Peoples languages with additional attribute information about the languages. The language speaker areas show generally the maximum continuous areas where the Indigenous Peoples who spoke those... |
Aug 30, 2024 -
Arctic Indigenous Peoples languages and revitalization map
Plain Text - 44.8 KB -
MD5: db86bb6063545f3d7ab81cefa676a634
Documentation of the dataset and all 5 shapefiles. This is an update version 1.1 from August 30, 2024 to reflect fixes to shapefile for Dialects and languages "Arctic_In_Lang_Dialect_V1-1_2024-Final.zip". |
Apr 25, 2023 -
Arctic Indigenous Peoples languages and revitalization map
ZIP Archive - 1.4 MB -
MD5: e34fd88d2619fb4a7c8a5e406a66387f
Shapefile of polygons/shapes showing geographical language speaker areas for 23 Arctic Indigenous language branches. This shapefile was made by combining polygons/shapes for the families from the languages in Arctic_In_Lang_Dialect_V1_2023.zip. |
Aug 30, 2024 -
Arctic Indigenous Peoples languages and revitalization map
ZIP Archive - 1.5 MB -
MD5: 41a55e603c782bbb64a743bc78454f7a
Shapefile of polygons/shapes showing geographical language speaker areas for 97 Arctic Indigenous Peoples languages. Some languages also include regional dialects. This is an pdated version 1.1 from August 30, 2024 which fixed some errors.
Fixes in version 1.1:
1. Language polygon for "Chilcotin"/"Tsilhqút'ín" included
2. 3 empty remnant attribute... |
Apr 25, 2023 -
Arctic Indigenous Peoples languages and revitalization map
ZIP Archive - 1.4 MB -
MD5: d04ac6f1011c724e53fb86a8438ccaf1
Shapefile of polygons/shapes showing geographical language speaker areas for 11 Arctic Indigenous language families. This shapefile was made by combining polygons/shapes for the families from the languages in Arctic_In_Lang_Dialect_V1_2023.zip. |
