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991 to 1,000 of 4,749 Results

ComplexWordProcessing_20211004.csv Feb 29, 2024 - Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words Comma Separated Values - 587.2 KB - MD5: 4bd0939243891e5008ed798caddaf297
ComplexWordProcessing_20211004.Rmd Feb 29, 2024 - Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words Unknown - 9.1 KB - MD5: d1a12760260251d19e4518ce9c090d05 R notebook with data analysis
data_protection_impact_assessment.pdf Feb 29, 2024 - Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words Adobe PDF - 271.6 KB - MD5: 9b58b92e7cf04fc47e907aeb16bb796e
Background data for: Latent-variable modeling of ordinal outcomes in language data analysis Feb 29, 2024 Krug, Manfred; Vetter, Fabian; Sönning, Lukas, 2024, "Background data for: Latent-variable modeling of ordinal outcomes in language data analysis", https://doi.org/10.18710/WI9TEH, DataverseNO, V1 This dataset contains tabular files with information about the usage preferences of speakers of Maltese English with regard to 63 pairs of lexical expressions. These pairs (e.g. truck-lorry or realization-realisation) are known to differ in usage between BrE and AmE (cf. Algeo 20...
00_ReadMe_malta_lexical.txt Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis Plain Text - 8.5 KB - MD5: f28936391222a389a67ce021298512a2 Documentation file describing the dataset
2023-07-19_lexical_pairs_data.tsv Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis Tab-Separated Values - 4.4 KB - MD5: 47177c0d70c56ff33f853a91f0e63517 Data table with information about the 63 items pairs used in the study
2023-07-19_malta_lexical_data_sample.tsv Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis Tab-Separated Values - 1.0 MB - MD5: 75db3802663a158e123e2c6570f12c51 Data table containing the ratings provided by the 500 informants
data_protection_impact_assessment.pdf Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis Adobe PDF - 280.5 KB - MD5: 49a27dcfd4a6b26697d0e70cea9a5c8c Brief assessment of whether the open publication of the dataset is aligned with applicable legal and research-ethical rules and guidelines
lexical_questionnaire.pdf Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis Adobe PDF - 157.1 KB - MD5: c04328be5a55d5674407d82ce59f22a6 Questionnaire used for data elicitation
Replication Data for: Zooming in on the semantics of French ingressives: a collostructional analysis Feb 13, 2024 Verroens, Filip, 2024, "Replication Data for: Zooming in on the semantics of French ingressives: a collostructional analysis", https://doi.org/10.18710/SZZDLI, DataverseNO, V1 Dataset abstract: The dataset includes an annotated corpus sample of N = 2000 French sentences with se mettre à or commencer à (1000 observations of each verb). The sample was drawn from the literary corpus Frantext and the journalistic corpus Le Monde (1000 observations from bot...

ComplexWordProcessing_20211004.csv

Feb 29, 2024 - Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words

Comma Separated Values - 587.2 KB -

ComplexWordProcessing_20211004.Rmd

Feb 29, 2024 - Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words

Unknown - 9.1 KB -

R notebook with data analysis

data_protection_impact_assessment.pdf

Feb 29, 2024 - Method in the madnessless: Exploring factors that impact the processing of two-suffixed complex words

Adobe PDF - 271.6 KB -

Background data for: Latent-variable modeling of ordinal outcomes in language data analysis

Feb 29, 2024

Krug, Manfred; Vetter, Fabian; Sönning, Lukas, 2024, "Background data for: Latent-variable modeling of ordinal outcomes in language data analysis", https://doi.org/10.18710/WI9TEH, DataverseNO, V1

This dataset contains tabular files with information about the usage preferences of speakers of Maltese English with regard to 63 pairs of lexical expressions. These pairs (e.g. truck-lorry or realization-realisation) are known to differ in usage between BrE and AmE (cf. Algeo 20...

00_ReadMe_malta_lexical.txt

Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis

Plain Text - 8.5 KB -

Documentation file describing the dataset

2023-07-19_lexical_pairs_data.tsv

Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis

Tab-Separated Values - 4.4 KB -

Data table with information about the 63 items pairs used in the study

2023-07-19_malta_lexical_data_sample.tsv

Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis

Tab-Separated Values - 1.0 MB -

Data table containing the ratings provided by the 500 informants

data_protection_impact_assessment.pdf

Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis

Adobe PDF - 280.5 KB -

Brief assessment of whether the open publication of the dataset is aligned with applicable legal and research-ethical rules and guidelines

lexical_questionnaire.pdf

Feb 29, 2024 - Background data for: Latent-variable modeling of ordinal outcomes in language data analysis

Adobe PDF - 157.1 KB -

Questionnaire used for data elicitation

Replication Data for: Zooming in on the semantics of French ingressives: a collostructional analysis

Feb 13, 2024

Verroens, Filip, 2024, "Replication Data for: Zooming in on the semantics of French ingressives: a collostructional analysis", https://doi.org/10.18710/SZZDLI, DataverseNO, V1

Dataset abstract: The dataset includes an annotated corpus sample of N = 2000 French sentences with se mettre à or commencer à (1000 observations of each verb). The sample was drawn from the literary corpus Frantext and the journalistic corpus Le Monde (1000 observations from bot...

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