CUNI x-ling: Parsing under-resourced languages in CoNLL 2018 UD Shared Task
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10390200" target="_blank" >RIV/00216208:11320/18:10390200 - isvavai.cz</a>
Result on the web
<a href="http://universaldependencies.org/conll18/proceedings/pdf/K18-2019.pdf" target="_blank" >http://universaldependencies.org/conll18/proceedings/pdf/K18-2019.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/K18-2019" target="_blank" >10.18653/v1/K18-2019</a>
Alternative languages
Result language
angličtina
Original language name
CUNI x-ling: Parsing under-resourced languages in CoNLL 2018 UD Shared Task
Original language description
This is a system description paper for the CUNI x-ling submission to the CoNLL 2018 UD Shared Task. We focused on parsing under-resourced languages, with no or little training data available. We employed a wide range of approaches, including simple word-based treebank translation, combination of delexicalized parsers, and exploitation of available morphological dictionaries, with a dedicated setup tailored to each of the languages. In the official evaluation, our submission was identified as the clear winner of the Low-resource languages category.
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
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)
Others
Publication year
2018
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 CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
ISBN
978-1-948087-82-7
ISSN
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e-ISSN
neuvedeno
Number of pages
10
Pages from-to
187-196
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Bruxelles, Belgium
Event date
Oct 31, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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