251 to 260 of 263 Results
Mar 27, 2026
Barðdal, Jóhanna; Catrine Sandal, 2026, "Supplementary material for "Dependent-Marked Anticausatives in Old Norse-Icelandic: Modeling Productive and Unproductive Alternations"", https://doi.org/10.18710/LEK2FK, DataverseNO, V1
This dataset provides the material on which the analysis in the article: "Dependent-Marked Anticausatives in Old Norse-Icelandic: Modeling Productive and Unproductive Alternations" is based, an article which is coming out later this year in the journal Functions of Language. The dataset contains 119 pairs of linguistic examples from Old Norse-Icela... |
Aug 5, 2026
Bernhardt, Mariann, 2026, "Background Data for: The ablative case with verbs of ingestion in the Mordvinic languages: A reappraisal", https://doi.org/10.18710/EFPL8B, DataverseNO, V1
Dataset description This dataset contains annotated examples of ingestion verbs and their causative and passive derivatives in the two Mordvinic languages, Erzya (E) and Moksha (M) (Uralic). The data were extracted from two corpora featuring the literary languages. The ERME corpus was used to retrieve the basic ingestion verbs and the more extensiv... |
Aug 10, 2026
Bruno, Laura; Barðdal, Jóhanna, 2026, "Replication Data for: The genesis of Dat-Gen with verbs of lacking in Old Frisian and Middle Low German", https://doi.org/10.18710/RSPIRH, DataverseNO, V1
This dataset contains replication data for the study "The genesis of Dat-Gen with verbs of lacking in Old Frisian and Middle Low German" (see Related Publication). The study investigates the origin of the genitive case in the Dat-Gen argument structure with verbs and predicates meaning "to lack" in Old Frisian and Middle Low German. The data for th... |
Aug 12, 2026
Janda, Laura A.; Nesset, Tore; Enger, Hans-Olav; Opsahl, Toril, 2026, "Replication data for “Klar eller klare blir klart. En empirisk undersøkelse av adjektivkongruens i norsk”", https://doi.org/10.18710/WCUCTF, DataverseNO, V2
Dataset abstract 107 participants who are also native speakers of Norwegian listened to 12 test sentences (and 12 filler sentences not included in the dataset) of various length (measured in deciseconds; Avstand_desisekunder), and varying according to individuation of subjects (Individuering), and syntactic complexity (Kompleksitet). All sentences... |
Aug 17, 2026 - ASTRID
González Alonso, Jorge; Bernabeu, Pablo; Silva, Gabriella; Poch Perez-Botija, Claudia; DeLuca, Vincent; Rothman, Jason, 2026, "CELL", https://doi.org/10.18710/MWBECT, DataverseNO, V1
Demographic and EEG data collected from adult late Spanish-English bilinguals living in Spain (n=78). Demographics included language information. EEG included resting state (eyes open and eyes closed) data. Please consult the 00_README.txt file for more information regarding this dataset. Abstract (https://doi.org/10.1080/14790718.2024.2415993): Th... |
Aug 17, 2026 - ASTRID
González Alonso, Jorge; Bernabeu, Pablo; Silva, Gabriella; Poch Perez-Botija, Claudia; DeLuca, Vincent; Rothman, Jason, 2026, "LESS", https://doi.org/10.18710/WVQ6WN, DataverseNO, V1
Demographic and EEG data collected from adult late Norwegian-English bilinguals living in Norway (n=28). Demographics included language information. EEG included resting state (eyes open and eyes closed) data. Please consult the 00_README.txt file for more information regarding this dataset. Abstract (lhttps://doi.org/10.1080/14790718.2024.2415993)... |
Aug 17, 2026
Le Foll, Elen; Ilie, Tiziana Maria, 2026, "Reproduction Package for: Das Mädchen und seine/ihre Pronomen: Genus-Sexus-Divergenz in maschinell generiertem Deutsch", https://doi.org/10.18710/AGKOKG, DataverseNO, V1
Dataset abstract This reproduction package includes the R code used to generate 3072 English-language sentence pairs featuring the word "girl" using an open-source, locally-run Large Language Model (LLM) and to replace all pronouns with placeholders. It also includes R code to translate these sentence pairs into German using the free-tier DeepL API... |
Aug 17, 2026 - ASTRID
Sendek, Katherine Jean, 2026, "Documentation of ASTRID", https://doi.org/10.18710/BFMCTV, DataverseNO, V1
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 17, 2026 - ASTRID
Voits, Toms; Gabrielsen, Anders; Berglund, Gaute; Thomsen, Hilde; Yao, Icey; Rook, Janine; van der Ploeg, Mara; Waagen, Philipp; DeLuca, Vincent; Rothman, Jason, 2026, "EEGCAP", https://doi.org/10.18710/KQIA63, DataverseNO, V1
Demographic and EEG data collected from 129 adult multilinguals in Norway (Norwegian L1), across a wide range of ages (18-82 years). Demographics included cognitive, social, language, and general health (physical activity and diet) information. EEG included resting state and task (flanker) data. Please consult the README.txt file for more informati... |
Aug 17, 2026 - ASTRID
Elin, Kirill; Gabrielsen, Anders; Thorstensen, Brage; Berglund, Gaute; Berntsen, Madelen Isabell; Fossum, Mona Kirknes; Waagen, Philipp; Rothman, Jason; DeLuca, Vincent, 2026, "MINDMAP", https://doi.org/10.18710/D5IO4R, DataverseNO, V1
Demographic and EEG data collected from 93 adult multilinguals in Norway (Norwegian L1), across a wide range of ages (18-82 years). Demographics included cognitive, social, language, and general health (physical activity and diet) information. EEG included resting state and task (flanker and AX-CPT) data, as well as heart rate information. Please c... |
