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MD5: a28593195f438e5f7c636188021fb053
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MD5: 00b3c2c74d2b64adf3e973de070879ee
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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
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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... |
Sep 2, 2025
Van den Heede, Margot; Lauwers, Peter, 2025, "Replication Data for: The semantic structuring of minimizing constructions in present-day Netherlandic Dutch: a distribution-based cluster analysis", https://doi.org/10.18710/GIKMKM, DataverseNO, V1
Dataset abstract: This dataset contains the data files that were used for the cluster analysis of the Dutch minimizing construction, as described in the publication cited below. In addition to a ReadMe file, it contains three files: A txt file is provided with the corpus queries that were used to find tokens of the minimizing constructions in the D... |
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MD5: 329e87bb74dfa9a7f5ba1a5831a695fa
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MD5: 75cb483e24dc9ce0790567e87c7126e3
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Comma Separated Values - 93.7 KB -
MD5: b20f69f6d15c676ec050cf9678d6f632
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