CzeSL - an error tagged corpus of Czech as a second language

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F12%3A10132322" target="_blank" >RIV/00216208:11320/12:10132322 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11210/12:10132322

Výsledek na webu

<a href="http://utkl.ff.cuni.cz/~rosen/public/2011-czesl-palc.pdf" target="_blank" >http://utkl.ff.cuni.cz/~rosen/public/2011-czesl-palc.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

CzeSL - an error tagged corpus of Czech as a second language

Popis výsledku v původním jazyce

The paper describes a corpus of texts produced by non-native speakers of Czech. We discuss its annotation scheme, consisting of three interlinked levels, designed to handle a wide range of error types present in the input. Each level corrects different types of errors; links between the levels allow capturing errors in word order and complex discontinuous expressions. Errors are not only corrected, but also classified. The annotation scheme is tested on a doubly-annotated sample of approx. 10,000 wordswith fair inter-annotator agreement results. We also explore the possibility of applying automated linguistic annotation tools (taggers, spell checkers and grammar checkers) to the learner text to support or even substitute manual annotation.

Název v anglickém jazyce

CzeSL - an error tagged corpus of Czech as a second language

Popis výsledku anglicky

The paper describes a corpus of texts produced by non-native speakers of Czech. We discuss its annotation scheme, consisting of three interlinked levels, designed to handle a wide range of error types present in the input. Each level corrects different types of errors; links between the levels allow capturing errors in word order and complex discontinuous expressions. Errors are not only corrected, but also classified. The annotation scheme is tested on a doubly-annotated sample of approx. 10,000 wordswith fair inter-annotator agreement results. We also explore the possibility of applying automated linguistic annotation tools (taggers, spell checkers and grammar checkers) to the learner text to support or even substitute manual annotation.

Druh

O - Ostatní výsledky

CEP obor

AI - Jazykověda

OECD FORD obor

—

Projekt

<a href="/cs/project/GPP406%2F10%2FP328" target="_blank" >GPP406/10/P328: Morfologická analýza a tagging s minimálními zdroji</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2012

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů