11 to 20 of 219 Results
Eckhoff, Hanne, 2015, "Replication data for: Animacy and Differential Object Marking in Old Church Slavonic", https://doi.org/10.18710/8GQV9V, DataverseNO, V1
This article explores the synchronic variation between the nominative-accusative (NA) and genitive-accusative (GA) in the oldest layer of canonical Old Church Slavonic (OCS), using parallel Greek and OCS data with principled information status annotation. Firstly, the data are us... |
Oct 27, 2016
Hansen, Pernille, 2016, "Replication data for: What makes a word easy to acquire? The effects of word class, frequency, imageability and phonological neighbourhood density on lexical development", https://doi.org/10.18710/JEWIVW, DataverseNO, V1
The main dataset includes age of acquisition, vocabulary acquisition and two different sets of frequency data for words in the Norwegian adaptation of the MacArthur-Bates Communicative Development Inventories. In addition, a frequency list for child-directed speech based on two N... |
Aug 3, 2020
Eckhoff, Hanne; Berdicevskis, Aleksandrs, 2016, "Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts", https://doi.org/10.18710/FERT42, DataverseNO, V2
Historical treebanks tend to be manually annotated, which is not surprising, since state-of-the-art parsers are not accurate enough to ensure high-quality annotation for historical texts. We show that automatic parsing can be an efficient pre-annotation tool for Old East Slavic t... |
Nov 21, 2016
Nordrum, Maria, 2016, "Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it", https://doi.org/10.18710/ZYOAXC, DataverseNO, V1
Traditionally, aspectual triplets (e.g. množit’sja/umnožit’sja/umnožat’sja ‘multiply) have been assumed to be very rare in the Russian verb system. Recent studies show that they are frequent and systematic: Janda et al. (2013: 170) report that 37% of Russian simplex imperfectives... |
Apr 4, 2016
Hartmann, Stefan, 2016, "Replication data for: Hartmann (2016): Word-Formation Change", https://doi.org/10.18710/CVQPYG, DataverseNO, V2
These data contain corpus concordances from a diachronic study of German nominalization patterns, reported on in Hartmann (forhc.), investigating three word-formation patterns on the basis of two corpora: a) nominalization with the suffix -ung, b) infinitival nominalization, c) v... |
Jan 25, 2016
Clasmeier, Christina; Anstatt, Tanja; Ernst, Jessica; Belke, Eva, 2016, "Replication data for: Are Schalter and šapka good competitors? Searching for stimuli for an investigation of the Russian-German bilingual mental lexicon", https://doi.org/10.18710/T6ITR3, DataverseNO, V1
Abstract of the corresponding paper: Journal articles on language processing rarely comment on difficulties and obstacles in the construction of the material for experimental investigations. This is remarkable, given that the compilation of appropriate, i.e. valid and well-contro... |
Dec 10, 2014
Makarova, Anastasia; Nesset, Tore, 2014, "Replication data for: V-temporal adverbials in Slavic", https://doi.org/10.18710/IOCDRU, DataverseNO, V2
The database includes 271 Russian examples and their equivalents in Ukrainian, Belarusian, Polish and Czech. The data were culled from the ParaSol parallel corpus (see http://parasol.unibe.ch/). |
Oct 4, 2018
Nesset, Tore, 2018, "Replication data for: Big data in Russian linguistics? Another look at paucal constructions", https://doi.org/10.18710/DG75YC, DataverseNO, V1
This post contains a database of Russian numeral constructions from the RuTenTen corpus (https://www.sketchengine.co.uk/rutenten-russian-corpus/). The constructions are of the following type: paucal numeral (2, 3 or 4) followed by an adjective and a feminine noun. |
Andrade Santos, Cássio, 2018, "Singing and speech in Brazilian Portuguese: stressed, pre-stressed and post-stressed vowels", https://doi.org/10.18710/3PKATY, DataverseNO, V1
A set of pre-stressed, post-stressed and stressed vowels of Brazilian Portuguese, which were spoken and sung by ten subjects. |
Oct 30, 2018
Cvrček, Václav, 2018, "Multi-Dimensional Analysis of Czech", https://doi.org/10.18710/QAJKZW, DataverseNO, V1, UNF:6:5rqhrfGF8iJspOAQER3OCA== [fileUNF]
Original data for a general-purpose multi-dimensional analysis model of register variation in Czech. This post contains a CSV data set of 137 linguistic features measured on 3428 Czech text chunks, and an R script which performs a factor analysis on this data set. The results of... |
