1 to 10 of 160 Results
Nov 22, 2023
Zhamaletdinova, Elmira, 2023, "Replication Data for: When modality and tense meet. The future marker budet ‘will’ in impersonal constructions with the modal adverb možno ‘be possible’", https://doi.org/10.18710/MOJBDK, DataverseNO, V1
Dataset description: This is a study of examples of Russian impersonal constructions with the modal word možno ‘can, be possible’ with and without the future copula budet ‘will be,’ i.e., možno + budet + INF and možno + INF. The data was collected in 2020-2021 from the old versio... |
Nov 20, 2023
Ponnet, Aaricia; De Cuypere, Ludovic, 2023, "Replication Data for: The acquisition of Differential Object Marking: a longitudinal study on L1 Dutch learners of Hindi as a foreign language", https://doi.org/10.18710/Q1AVUU, DataverseNO, V1
Dataset abstract The dataset includes annotated spoken corpus data of N = 3685 utterances, created with a picture description task that elicited semi-spontaneous oral production data from N = 5 learners of Hindi at a Belgian institute. Following a longitudinal design, we gathered... |
Nov 18, 2023
Zhukova, Valentina, 2023, "Replication Data for: How to threaten in Russian: a constructionist approach", https://doi.org/10.18710/ZFYCOG, DataverseNO, V1
This dataset concerns the data for the article that analyzes various linguistic means to carry out threats in Russian with a special focus on 27 constructions tagged as "Threat" in the Russian Constructicon, a linguistic repository of more than 2200 constructions in the Russian l... |
Nov 14, 2023
Schledewitz, David, 2023, "Replication Data for: The Verbal prefix do- in Russian and Ukrainian", https://doi.org/10.18710/1U2AQJ, DataverseNO, V1
Dataset description: This dataset contains corpus data used in the paper described below. The dataset set consists of html-pages that contain the results for corpus searches in the Russian National Corpus (RNC) as described in the methodology of the corresponding paper and in the... |
Nov 7, 2023
Marklova, Anna; Panfilova, Elena; Mertins, Barbara, 2023, "Parent-child conversations about motion events (Russian, Russian-German, Czech)", https://doi.org/10.18710/DXNZPD, DataverseNO, V1
The dataset contains transcripts of parent-child communication over picture stimuli depicting motion events. The transcripts are partly-coded and transcribed in purpose of comparative analysis. The data were collected in Czech republic (Czech native speakers, n=25), Russia (Russi... |
Nov 2, 2023
Endresen, Anna; Janda, Laura Alexis; Zhukova, Valentina, 2023, "Replication Data for: Typology of reduplication in Russian: constructions within and beyond a single clause", https://doi.org/10.18710/CYLJCD, DataverseNO, V1
We analyze repetition in Russian from the perspective of the Russian Constructicon which represents over 2200 grammatical constructions described in terms of anchors (fixed elements) and slots (for various filler elements) and fully annotated for their syntactic and semantic char... |
Oct 24, 2023
Sönning, Lukas, 2023, "Background data (adapted from Jenset & McGillivray 2017) for: Down-sampling from hierarchically structured corpus data", https://doi.org/10.18710/5KCE4U, DataverseNO, V1
Dataset description This dataset, which is adapted from Jenset and McGillivray (2017), contains tabular files documenting the alternating usage of -(e)th and -(e)s to mark third-person verb inflection in Early Modern English. The data provided by Jenset and McGillivray (2017) are... |
Sep 26, 2023
Nesset, Tore; Xavier, Kevin, 2023, "Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’", https://doi.org/10.18710/ZCDX1B, DataverseNO, V1
The present study reports on a machine learning experiment concerning mobile vowels in the Russian preposition v ‘in(to)’. Data are extracted from the Russian National Corpus. It is shown that a neural network is able to predict mobile vowels in 97.4% of the cases in our dataset,... |
Sep 15, 2023
Janda, Laura Alexis, 2023, "Sources and Targets in Kuteva et al. 2019", https://doi.org/10.18710/FYFNFV, DataverseNO, V1
This dataset is based on examples found in Kuteva et al. 2019: Kuteva, Tania, Bernd Heine, Bo Hong, Haiping Long, Heiko Narrog, and Seongha Rhee. 2019. World Lexicon of Gramaticalization (2nd ed.). Cambridge: Cambridge University Press. Kuteva et al.’s World Lexicon of Grammatica... |
Sep 1, 2023
Janda, Laura Alexis, 2023, "Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula", https://doi.org/10.18710/XKDBLF, DataverseNO, V1
Description of Dataset This is a study of examples of Russian predicate adjectives in clauses with zero-copula present tense, where the adjective is a short form (SF) or a long form nominative (LF). The data was collected in 2022 from SynTagRus (https://universaldependencies.org/... |
