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4,201 to 4,210 of 4,722 Results

Dataset_Subject_Placement_in_the_History_of_Latin_SPHL.txt Apr 30, 2017 - Replication Data for: Subject Placement in the History of Latin Plain Text - 518.6 KB - MD5: 7dc9fde5646c14c17845e83c768de58a This file contains the original data used for the study.
README_Subject_Placement_in_the_History_of_Latin_SPHL.txt Apr 30, 2017 - Replication Data for: Subject Placement in the History of Latin Plain Text - 3.4 KB - MD5: e54aa28102c52f58d5f4f15773775813 This file contains a detailed description of the replication data.
Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it 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...
Natural_perfectives.txt Nov 21, 2016 - Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it Plain Text - 22.2 KB - MD5: f6a58e2171e8cb50f7d2320ad5ea213c
readme.txt Nov 21, 2016 - Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it Plain Text - 1.1 KB - MD5: ff3de65d35d6fbbaae6db51ead7d273c
Secondary_imperfectives.txt Nov 21, 2016 - Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it Plain Text - 36.3 KB - MD5: 78390d3189ab7cf8511be1fb3214afb9
00_readme.txt Nov 16, 2016 - Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts Plain Text - 6.3 KB - MD5: d21be59f3c58d35a54a9233aebc86b24 Description of the dataset.
compare_aligned3b_morph.rb Nov 16, 2016 - Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts application/x-ruby - 4.8 KB - MD5: 473f7f7a0c705a699cc37cb6b99021fc See readme.txt
compare_aligned3b_preparsed.rb Nov 16, 2016 - Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts application/x-ruby - 4.8 KB - MD5: 84cf91b160c8c921bf500deaabb0ad49 See readme.txt
compare_aligned_lav.rb Nov 16, 2016 - Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts application/x-ruby - 3.9 KB - MD5: a88d794fed532815074e7170ee3a317d See readme.txt

Dataset_Subject_Placement_in_the_History_of_Latin_SPHL.txt

Apr 30, 2017 - Replication Data for: Subject Placement in the History of Latin

Plain Text - 518.6 KB -

This file contains the original data used for the study.

README_Subject_Placement_in_the_History_of_Latin_SPHL.txt

Apr 30, 2017 - Replication Data for: Subject Placement in the History of Latin

Plain Text - 3.4 KB -

This file contains a detailed description of the replication data.

Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it

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...

Natural_perfectives.txt

Nov 21, 2016 - Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it

Plain Text - 22.2 KB -

readme.txt

Nov 21, 2016 - Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it

Plain Text - 1.1 KB -

Secondary_imperfectives.txt

Nov 21, 2016 - Replication Data for: The aspectual triplets of putat’: The Telicity Hypothesis and two ways to test it

Plain Text - 36.3 KB -

00_readme.txt

Nov 16, 2016 - Replication Data for: Automatic parsing as an efficient pre-annotation tool for historical texts

Plain Text - 6.3 KB -