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Adobe PDF - 93.2 KB - MD5: d85257961823700df1e2ebb9329f9de2
Documentation
Information about how to read the data files
Tabular Data - 197.7 KB - 14 Variables, 1217 Observations - UNF:6:URoDaDdJZfuD6JwxSAb0ug==
Data
Schwa occurrences and coding of these, extracted from the Oslo corpus, original file
Plain Text - 163.5 KB - MD5: 9aacc48b43b9a2807d1d1dea08385cbd
Data
Schwa occurrences and coding of these, extracted from the Oslo corpus
Tabular Data - 191.4 KB - 14 Variables, 1206 Observations - UNF:6:j0k8if2EqHO1iKupFAv5hg==
Data
Schwa occurrences and coding of these, extracted from the Tromsø corpus, original file
Plain Text - 156.7 KB - MD5: b0f12de6e2d2276fa90225d8324832e4
Data
Schwa occurrences and coding of these, extracted from the Tromsø corpus
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...
Plain Text - 18.0 KB - MD5: b9018cb40af0ea468a3b95bab1ce8e0d
This is the original (non-normalised) fragment from Sergij of Radonezh (see 3.1)
Plain Text - 17.7 KB - MD5: 1a62e8d909b342b92702e746eafb9600
This is the same fragment as File 1 in normalised orthography (see 3.1 and 2)
Plain Text - 3.4 MB - MD5: 2e9da6439942db9900bf61184c59d3e9
This is the training set the TnT was trained on (see 3.1)
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