Description Usage Arguments Value Licensing Citing Multi-CAST References See Also Examples
multicast downloads corpus data from the Multi-CAST collection (Haig &
Schnell 2015) from the servers of the University of Bamberg. As the
Multi-CAST collection is continuously evolving through the addition of
further data sets and the revision of older annotations, the multicast
function takes an optional argument vkey to select earlier versions of
the annotation data, ensuring scientific accountability and the
reproducibility of results.
1 |
vkey |
A four-digit number specifying the requested version of the
metadata. Must be one of the version keys listed in the first column of
|
A data.frame with eleven columns:
[, 1] corpusThe name of the corpus.
[, 2]
textThe name of the text.
[, 3] uidThe utterance identifier. Uniquely identifies an utterance within a text.
[,
4] gwordGrammatical words. The tokenized utterances in the object language.
[, 5] glossMorphological glosses following the Leipzig Glossing Rules.
[, 6] graidAnnotations with the GRAID scheme (Haig & Schnell 2014).
[, 7] gformThe form symbol of a GRAID gloss.
[, 8] ganimThe person-animacy symbol of a GRAID gloss.
[, 9] gfuncThe function symbol of a GRAID gloss.
[, 10] refindReferent tracking using the RefIND scheme (Schiborr et al. 2018).
[, 11]
isnrefAnnotations of the information status of newly introduced referents.
The Multi-CAST annotation data accessed by this package are published under a Create Commons Attribution 4.0 International (CC-BY 4.0) licence (https://creativecommons.org/licenses/by-sa/4.0/). Please refer to the Multi-CAST website for information on how to give proper credit to its contributors.
Data from the Multi-CAST collection should be cited as:
Haig, Geoffrey & Schnell, Stefan (eds.). 2015. Multi-CAST: Multilinguial Corpus of Annotated Spoken Texts. (https://multicast.aspra.uni-bamberg.de/) (Accessed date.)
If
for some reason you need to cite this package specifically, please refer to
citation(multicastR).
Haig, Geoffrey & Schnell, Stefan. 2014. Annotations using GRAID (Grammatical Relations and Animacy in Discourse): Introduction and guidelines for annotators. Version 7.0. (https://multicast.aspra.uni-bamberg.de/#annotations)
Schiborr, Nils N. & Schnell, Stefan & Thiele, Hanna. 2018. RefIND – Referent Indexing in Natural-language Discourse: Annotation guidelines. Version 1.1. (https://multicast.aspra.uni-bamberg.de/#annotations)
mc_index, mc_metadata,
mc_referents, mc_clauses
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