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Russian CliPS: a Corpus of Narratives by Brain-Damaged Individuals

Mariya Khudyakova
National Research University Higher School of Economics, Moscow, Russia

Mira Bergelson
National Research University Higher School of Economics, Moscow, Russia

Yulia Akinina
National Research University Higher School of Economics, Moscow, Russia

Ekaterina Iskra
National Research University Higher School of Economics, Moscow, Russia

Svetlana Toldova
National Research University Higher School of Economics, Moscow, Russia

Olga Dragoy
National Research University Higher School of Economics, Moscow, Russia

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Ingår i: Proceedings of LREC 2016 Workshop. Resources and Processing of Linguistic and Extra-Linguistic Data from People with Various Forms of Cognitive/Psychiatric Impairments (RaPID-2016), Monday 23rd of May 2016

Linköping Electronic Conference Proceedings 128:4, s. 22 to 26

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Publicerad: 2016-06-03

ISBN: 978-91-7685-730-4

ISSN: 1650-3686 (tryckt), 1650-3740 (online)

Abstract

In this paper we present a multimedia corpus of Pear film retellings by people with aphasia (PWA), right hemisphere damage (RHD), and healthy speakers of Russian. Discourse abilities of brain-damaged individuals are still under discussion, and Russian CliPS (Clinical Pear Stories) corpus was created for the thorough analysis of micro- and macro-linguistic levels of narratives by PWA and RHD. The current version of Russian ?liPS contains 39 narratives by people with various forms of aphasia due to left hemisphere damage, 5 narratives by people with right hemisphere damage and no aphasia, and 22 narratives by neurologically healthy adults. The annotation scheme of Russian CliPS 1.0 includes the following tiers: quasiphonetic, lexical, lemma, part of speech tags, grammatical properties, errors, laughter, segmentation into clauses and utterances. Also analysis of such measures as informativeness, local and global coherence, anaphora, and macrostructure is planned as a next stage of the corpus development.

Nyckelord

aphasia, brain damage, discourse, Russian

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