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%2F00216208%3A11320%2F12%3A10130062" target="_blank" >RIV/00216208:11320/12:10130062 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11210/12:10130062
Result on the web
<a href="http://link.springer.com/chapter/10.1007/978-3-642-32790-2_15" target="_blank" >http://link.springer.com/chapter/10.1007/978-3-642-32790-2_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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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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