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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)
application/vnd.lotus-1-2-3 - 1.4 MB - MD5: d21d32aac8bdc9968d85f75822754f82
This is a TnT model file
Unknown - 1.1 MB - MD5: d243ac3e7d222671731eb43dde14ffc4
This is a TnT model file
Tab-Delimited - 221.2 KB - MD5: b6a77c3f6cf5451c53fcf4473e0fc9a6
This is the list of TOROT lemmata (used for lemma guessing, see 3.1 and 4.2)
Comma Separated Values - 442.2 KB - MD5: a135b411b70cc2b0177b6c4e224b0218
This is the output of the RNC tagger (to get access to the tagger itself, contact the third author)
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