A query engine for L1-L2 parallel dependency treebanks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3ADAXYHYQ2" target="_blank" >RIV/00216208:11320/23:DAXYHYQ2 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2023.nodalida-1.57/" target="_blank" >https://aclanthology.org/2023.nodalida-1.57/</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A query engine for L1-L2 parallel dependency treebanks
Original language description
"L1-L2 parallel dependency treebanks are learner corpora with interoperability as their main design goal. They consist of sentences produced by learners of a second language (L2) paired with native-like (L1) correction hypotheses. Rather than explicitly labelled for errors, these are annotated following the Universal Dependencies standard. This implies relying on tree queries for error retrieval. Work in this direction is, however, limited. We present a query engine for L1-L2 treebanks and evaluate it on two corpora, one manually validated and one automatically parsed."
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
"Proceedings of the 24th Nordic Conference on Computational Linguistics (NoDaLiDa)"
ISBN
978-99-1621-999-7
ISSN
1736-8197
e-ISSN
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Number of pages
14
Pages from-to
574-587
Publisher name
University of Tartu Library
Place of publication
Tartu
Event location
Tartu
Event date
Jan 1, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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