201 to 210 of 263 Results
Mar 23, 2026
Vinichenko, Anya, 2026, "Replication Data for: Spotting the lect: Asymmetric literacy competencies in multilectal contexts", https://doi.org/10.18710/UIEBGK, DataverseNO, V1
Description of dataset: The dataset contains quantitative experimental data from a language classification task collected from 9–10th grade lower secondary school pupils (n = 398) from three Norwegian municipalities. The municipalities were located in Eastern Norway (Telemark county), Northern Norway (Nordland county), and Western Norway (Vestland... |
Jan 24, 2023
Janda, Laura A; Nesset, Tore, 2023, "Replication Data for: A network of allostructions: quantified subject constructions in Russian", https://doi.org/10.18710/4D2QII, DataverseNO, V1
Data and R code are provided for statistical analysis of approximately 39,000 corpus examples of predicate agreement in constructions with quantified subjects in Russian. The analysis indicates that these constructions constitute a network of constructions (“allostructions”) with various preferences for singular or plural agreement. Factors pull in... |
Mar 17, 2023
Ponnet, Aaricia; De Cuypere, Ludovic, 2023, "Replication Data for: The acquisition of Hindi split-ergativity and Differential Object Marking by Dutch L1 speakers: systematicity and variation", https://doi.org/10.18710/3YWQ8R, DataverseNO, V1
Dataset abstract The dataset includes annotated corpus data of N = 1811 utterances based on a picture description task that elicited semi-spontaneous oral production data from 15 Dutch learners of Hindi, from four (cross-sectional) stages (Years) of the Hindi course trajectory. The corpus data is annotated for (i) Learner, (ii) Year of study of the... |
Jun 3, 2026
De Timmerman, Romeo; Verbeke, Gil, 2026, "Replication Data for: Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning", https://doi.org/10.18710/RDU8M2, DataverseNO, V1
Dataset description This dataset contains replication data for the study "Modeling monophthongal versus diphthongal /aɪ/ in sung vocal performance with interpretable machine learning" (De Timmerman & Verbeke, 2026). The study investigates how binary perceptual annotations of monophthongal versus diphthongal /aɪ/ relate to measurable acoustic variat... |
Jun 29, 2026
Verbeke, Gil; Cebrian, Juli; Simon, Ellen, 2026, "Replication Data for: Perception of English vowels across regional accents by Catalan-Spanish bilinguals", https://doi.org/10.18710/MOXY5M, DataverseNO, V1
Dataset abstract This dataset contains the results of a study on cross-language and second-language vowel perception in Catalan-Spanish bilingual learners of English. The dataset includes behavioral data from two perceptual tasks, which were collected during two experimental sessions. In the first session, 33 L1 Catalan-Spanish bilingual participan... |
Jul 31, 2026
Rainsford, Thomas, 2026, "Replication Data for: La Disparition de l'accent de mot. Chapitre 3: L'accent dans le vers, 1000-1500", https://doi.org/10.18710/VEKXTD, DataverseNO, V1
This dataset provides replication data for the third chapter of the monograph "La Disparition de l'accent de mot : Étude de la prosodie du français en diachronie" (Rainsford 2026). The chapter analyses the the rhythm of medieval French verse and the dataset contains metrically annotated data from 75 short extracts of medieval verse texts in additio... |
Jul 22, 2026
Nacey, Susan; Krennmayr, Tina, 2026, "Replication data for: Evaluating Dictionaries for Metaphor Identification", https://doi.org/10.18710/RIQXRD, DataverseNO, V1
Dataset description: The replication data and R code provide documentation for the article "Evaluating dictionaries for metaphor identification". A total of 2068 tokens were analyzed for metaphor status four times (using four different learner's dictionaries) by two analysts. The dataset contains 4 files in addition to the ReadMe file: 01_MIPVU_cod... |
The ASTRID database is a large-scale database with a primary goal of capturing and quantifying individual differences in multilingual experience and relating them to neurocognitive adaptations/outcomes. Herein, resting-state EEG serves as the default outcome, although subsets of the database have additional available neurocognitive measures, includ... |
Aug 26, 2026
Schützler, Ole, 2026, "Supporting data for: Incipient vowel splits in Standard Scottish English", https://doi.org/10.18710/KH6YDI, DataverseNO, V1
Dataset description: The dataset contains measurements of the first two formants of the monophthong vowels of Standard Scottish English, produced by n = 34 speakers in the Scottish component of the International Corpus of English. The three vowel categories /a/, /ɔ/ and /u/ are additionally annotated according to the corresponding tense and lax cat... |
Aug 26, 2026
Schützler, Ole, 2026, "Supporting Data for: Investigating the covariation of features in ‘crowded’ vowel spaces – A corpus-based study of BOOT and BIT in Standard Scottish English", https://doi.org/10.18710/EYUPME, DataverseNO, V1
The study focuses on the vowel categories BOOT and BIT in Standard Scottish English (SSE). The BOOT-vowel tends to be relatively front, the BIT-vowel tends to be lowered and/or centralised, and both are subject to sociolinguistic variation. In addition, this paper argues that they are also competing for limited articulatory (and acoustic) space, so... |
