Docria: Processing and Storing Linguistic Data with Wikipedia
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F19%3A10427100" target="_blank" >RIV/00216208:11320/19:10427100 - isvavai.cz</a>
Result on the web
<a href="https://www.aclweb.org/anthology/W19-6148" target="_blank" >https://www.aclweb.org/anthology/W19-6148</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Docria: Processing and Storing Linguistic Data with Wikipedia
Original language description
The availability of user-generated content has increased significantly over time. Wikipedia is one example of a corpora which spans a huge range of topics and is freely available. Storing and processing these corpora requires flexible documents models as they may contain malicious and incorrect data. Docria is a library which attempts to address this issue by providing a solution which can be used with small to large corpora, from laptops using Python interactively in a Jupyter notebook to clusters running map-reduce frameworks with optimized compiled code. Docria is available as open-source code.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
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
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů