Combining manual and automatic annotation of a learner corpus

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24510%2F12%3A%230000904" target="_blank" >RIV/46747885:24510/12:#0000904 - isvavai.cz</a>
Result on the web
<a href="http://link.springer.com/chapter/10.1007%2F978-3-642-32790-2_15" target="_blank" >http://link.springer.com/chapter/10.1007%2F978-3-642-32790-2_15</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-32790-2_15" target="_blank" >10.1007/978-3-642-32790-2_15</a>

Result language
angličtina
Original language name
Combining manual and automatic annotation of a learner corpus
Original language description
We present an approach to building a learner corpus of Czech, manually corrected and annotated with error tags using a complex grammar-based taxonomy of errors in spelling, morphology, morphosyntax, lexicon and style. This grammar-based annotation is supplemented by a formal classification of errors based on surface alternations. To supply additional information about non-standard or ill-formed expressions, we aim at a synergy of manual and automatic annotation, deriving information from the original input and from the manual annotation
Czech name
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Czech description
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Text, Speech and Dialogue - 15th International Conference, TSD 2012, Brno, Czech Republic, September 3-7, 2012. Proceedings
ISBN
978-3-642-32789-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
127-134
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Brno
Event date
Dec 9, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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