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1 to 10 of 219 Results
Jun 16, 2014
Makarova, Anastasia, 2014, "Russian -n'ki words", https://doi.org/10.18710/TBWFYV, DataverseNO, V1
The database includes Russian words ending in -n'ki of the bain'ki 'sleep' type
Nov 27, 2015
Antonsen, Lene; Janda, Laura A., 2015, "Replication data for: Possessive constructions in North Saami prose", https://doi.org/10.18710/SE00DS, DataverseNO, V2
We present an analysis of nearly 4K examples of possessive constructions extracted from nearly 0.7M words of North Saami prose representing works of authors born in three time periods (1870-1927, 1947-1957, 1972-1983), plus a recent (1998) translation of the New Testament. The ex...
Mar 17, 2020
Conzett, Philipp, 2017, "Genusvariasjon i norsk skriftspråk", https://doi.org/10.18710/MTEQYP, DataverseNO, V2
Dette datasettet inneheld materialet ifrå ei undersøking av genusvariasjon i norsk skriftspråk. Undersøkinga har sitt utspring i to oppdrag eg fekk ifrå Språkrådet om å kartleggja genusvariasjon i bokmål og nynorsk. Datagrunnlaget og metoden som er nytta i undersøkinga, er beskri...
Dec 3, 2017
Eckhoff, Hanne; Janda, Laura; Lyashevskaya, Olga Nikolayevna, 2017, "Replication Data for: Predicting Russian aspect by frequency across genres", https://doi.org/10.18710/BIIGT6, DataverseNO, V1, UNF:6:TCa0jCAvvGll3zm3uYltvg== [fileUNF]
We ask whether the aspect of individual verbs can be predicted based on the statistical distribution of their inflectional forms and how this is influenced by genre. To address these questions, we present an analysis of the “grammatical profiles” (relative frequency distributions...
Apr 30, 2017
Danckaert, Lieven, 2017, "Replication Data for: Subject Placement in the History of Latin", https://doi.org/10.18710/V9D674, DataverseNO, V1
The present dataset was used in a corpus study on the diachrony of subject placement in the history of Latin, to appear in 'Catalan Journal of Linguistics'. The main file contains a set of Latin examples, which have all been annotated for a number of variables needed for the purp...
Mar 30, 2015
Eckhoff, Hanne; Haug, Dag, 2015, "Aspect and prefixation in Old Church Slavonic", https://doi.org/10.18710/3YNHO7, DataverseNO, V1
In this article we focus on one grammaticalization path to perfective markers, that of the so-called "bounder perfectives" (Bybee and Dahl 1989). Systems with this kind of perfective markers - often called "Slavic-style aspect" -- are particular elaborated in the Slavic languages...
Aug 31, 2015
Clasmeier, Christina, 2015, "Die mentale Repräsentation von Aspektpartnerschaften russischer Verben", https://doi.org/10.18710/R2SZVK, DataverseNO, V1
Kaum eine sprachliche Struktur des Russischen wird so kontrovers diskutiert wie der Verbalaspekt: Welche Verben können Aspektkorrelationen bilden? Was gilt als Aspektpaar? Zu diesen und anderen Fragen geben Aspektolog/innen eine Vielzahl verschiedener Antworten. Aber wie ist die...
Jun 16, 2014
Makarova, Anastasia, 2014, "Russian -n'kat' verbs", https://doi.org/10.18710/MJDL3F, DataverseNO, V1
The database includes Russian -n'kat' verbs attested in the Russian National Corpus (see http://ruscorpora.ru).
Jun 13, 2014
Janda, Laura A., 2014, "Metonymy in Word-Formation: Russian, Czech, and Norwegian", https://doi.org/10.18710/1GNZSC, DataverseNO, V1
Publication abstract: A foundational goal of cognitive linguistics is to explain linguistic phenomena in terms of general cognitive strategies rather than postulating an autonomous language module (Langacker 1987: 12-13). Metonymy is identified among the imaginative capacities of...
Aug 10, 2017
Berdicevskis, Aleksandrs; Eckhoff, Hanne; Gavrilova, Tatjana, 2017, "Replication data for: The beginning of a beautiful friendship: rule-based and statistical analysis of Middle Russian", https://doi.org/10.18710/T9NQ9L, DataverseNO, V1
We describe and compare two tools for processing Middle Russian texts. Both tools provide lemmatization, part-of-speech and morphological annotation. One (“RNC”) was developed for annotating texts in the Russian National Corpus and is rule-based. The other one (“TOROT”) is being...
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