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31 to 40 of 220 Results

Replication Data for: From Motion to Causation: The Diachrony of the Spanish Causative Constructions with traer (‘Bring’) and llevar (‘Take’) Jun 14, 2023 Torres Soler, Julio; Enghels, Renata, 2023, "Replication Data for: From Motion to Causation: The Diachrony of the Spanish Causative Constructions with traer (‘Bring’) and llevar (‘Take’)", https://doi.org/10.18710/BQ0PDU, DataverseNO, V1 The two annotated data files in this dataset were used to create the tables and graphs in the paper "From Motion to Causation: The Diachrony of the Spanish Causative Constructions with traer (‘Bring’) and llevar (‘Take’)". All the tokens, which span from the 12th to the 20th cent...
Background Data for: The complexity principle and the morphosyntactic alternation between case affixes and postpositions in Estonian Jun 16, 2023 Klavan, Jane, 2023, "Background Data for: The complexity principle and the morphosyntactic alternation between case affixes and postpositions in Estonian", https://doi.org/10.18710/KDSZEP, DataverseNO, V1 Manually annotated dataset of 3,000 uses of exterior locative constructions (specifically cases and postpositions) in present-day Estonian. The data is extracted from the Estonian National Corpus (ENC 2017; 1.1 billion words, mainly web-based texts). The data includes 500 uses of...
Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula 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/...
Sources and Targets in Kuteva et al. 2019 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...
Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’ 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,...
Replication Data for: The acquisition of Hindi split-ergativity and Differential Object Marking by Dutch L1 speakers: systematicity and variation 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. T...
Replication Data for: A panorama of inchoative constructions in Spanish: Cluster analysis as an answer to the near-synonymy puzzle. Mar 18, 2023 Van Hulle, Sven, 2023, "Replication Data for: A panorama of inchoative constructions in Spanish: Cluster analysis as an answer to the near-synonymy puzzle.", https://doi.org/10.18710/DR8QKQ, DataverseNO, V1 The dataset contains the data for the hierarchical cluster analysis as explained in the article "A panorama of inchoative constructions in Spanish: Cluster analysis as an answer to the near-synonymy puzzle". The dataset contains the data for the hierarchical cluster analysis as e...
Replication Data For: The apparent-time construct as a proxy to spoken conversational data in the 20th century: a Spanish case study Apr 19, 2023 Enghels, Renata; Roels, Linde, 2023, "Replication Data For: The apparent-time construct as a proxy to spoken conversational data in the 20th century: a Spanish case study", https://doi.org/10.18710/9QLIP6, DataverseNO, V1 This dataset contains two annotated datasets used to create the tables and graphs in the paper "The apparent-time construct as a proxy to spoken conversational data in the 20th century: a Spanish case study". A first dataset contains tokens of the pragmatic marker 'sabes' and rel...
Replication Data for: The acquisition of the English dative alternation by Russian Foreign Language Learners Jul 20, 2023 De Cuypere, Ludovic; De Coster, Evelyn; Baten, Kristof, 2023, "Replication Data for: The acquisition of the English dative alternation by Russian Foreign Language Learners", https://doi.org/10.18710/TDUFPI, DataverseNO, V1 Dataset abstract The dataset contains the ratings for a 100-split task performed by Russian learners of English. 272 Russian learners were subdivided into two groups. One group rated 25 English sentences containing the dative alternation taken from the British National Corpus (BN...
Replication Data for: Russian verbal borrowings in Udmurt May 14, 2019 Arkhangelskiy, Timofey, 2019, "Replication Data for: Russian verbal borrowings in Udmurt", https://doi.org/10.18710/5N34CG, DataverseNO, V1 This is the dataset used in a study of Russian verbal loans in Udmurt. The files contain lists of Russian verbs found in the Udmurt social media corpus (http://udmurt.web-corpora.net/index_en.html), manually annotated for several features such as aspect or frequencies in differen...

Replication Data for: From Motion to Causation: The Diachrony of the Spanish Causative Constructions with traer (‘Bring’) and llevar (‘Take’)

Jun 14, 2023

Torres Soler, Julio; Enghels, Renata, 2023, "Replication Data for: From Motion to Causation: The Diachrony of the Spanish Causative Constructions with traer (‘Bring’) and llevar (‘Take’)", https://doi.org/10.18710/BQ0PDU, DataverseNO, V1

The two annotated data files in this dataset were used to create the tables and graphs in the paper "From Motion to Causation: The Diachrony of the Spanish Causative Constructions with traer (‘Bring’) and llevar (‘Take’)". All the tokens, which span from the 12th to the 20th cent...

Background Data for: The complexity principle and the morphosyntactic alternation between case affixes and postpositions in Estonian

Jun 16, 2023

Klavan, Jane, 2023, "Background Data for: The complexity principle and the morphosyntactic alternation between case affixes and postpositions in Estonian", https://doi.org/10.18710/KDSZEP, DataverseNO, V1

Manually annotated dataset of 3,000 uses of exterior locative constructions (specifically cases and postpositions) in present-day Estonian. The data is extracted from the Estonian National Corpus (ENC 2017; 1.1 billion words, mainly web-based texts). The data includes 500 uses of...

Replication Data for: The long and the short of it: Russian predicate adjectives with zero copula

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/...

Sources and Targets in Kuteva et al. 2019

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...

Replication Data for: From machine learning to classroom learning: mobile vowels and the Russian preposition v ‘in(to)’

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,...

Replication Data for: The acquisition of Hindi split-ergativity and Differential Object Marking by Dutch L1 speakers: systematicity and variation

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. T...

Replication Data for: A panorama of inchoative constructions in Spanish: Cluster analysis as an answer to the near-synonymy puzzle.

Mar 18, 2023

Van Hulle, Sven, 2023, "Replication Data for: A panorama of inchoative constructions in Spanish: Cluster analysis as an answer to the near-synonymy puzzle.", https://doi.org/10.18710/DR8QKQ, DataverseNO, V1

The dataset contains the data for the hierarchical cluster analysis as explained in the article "A panorama of inchoative constructions in Spanish: Cluster analysis as an answer to the near-synonymy puzzle". The dataset contains the data for the hierarchical cluster analysis as e...

Replication Data For: The apparent-time construct as a proxy to spoken conversational data in the 20th century: a Spanish case study

Apr 19, 2023

Enghels, Renata; Roels, Linde, 2023, "Replication Data For: The apparent-time construct as a proxy to spoken conversational data in the 20th century: a Spanish case study", https://doi.org/10.18710/9QLIP6, DataverseNO, V1

This dataset contains two annotated datasets used to create the tables and graphs in the paper "The apparent-time construct as a proxy to spoken conversational data in the 20th century: a Spanish case study". A first dataset contains tokens of the pragmatic marker 'sabes' and rel...

Replication Data for: The acquisition of the English dative alternation by Russian Foreign Language Learners

Jul 20, 2023

De Cuypere, Ludovic; De Coster, Evelyn; Baten, Kristof, 2023, "Replication Data for: The acquisition of the English dative alternation by Russian Foreign Language Learners", https://doi.org/10.18710/TDUFPI, DataverseNO, V1

Dataset abstract The dataset contains the ratings for a 100-split task performed by Russian learners of English. 272 Russian learners were subdivided into two groups. One group rated 25 English sentences containing the dative alternation taken from the British National Corpus (BN...

Replication Data for: Russian verbal borrowings in Udmurt

May 14, 2019

Arkhangelskiy, Timofey, 2019, "Replication Data for: Russian verbal borrowings in Udmurt", https://doi.org/10.18710/5N34CG, DataverseNO, V1

This is the dataset used in a study of Russian verbal loans in Udmurt. The files contain lists of Russian verbs found in the Udmurt social media corpus (http://udmurt.web-corpora.net/index_en.html), manually annotated for several features such as aspect or frequencies in differen...

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