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@inproceedings{2240158,
author = {Kostka, Matúš},
address = {Brno},
booktitle = {Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022},
editor = {Aleš Horák, Pavel Rychlý, Adam Rambousek},
keywords = {Pipelines; Tokens; Sketch Engine; Effectiveness; Language},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-1752-4},
pages = {123-130},
publisher = {Tribun EU},
title = {Pipeline Effectiveness in the Sketch Engine},
url = {https://nlp.fi.muni.cz/raslan/2022/paper20.pdf},
year = {2022}
}
TY - JOUR
ID - 2240158
AU - Kostka, Matúš
PY - 2022
TI - Pipeline Effectiveness in the Sketch Engine
PB - Tribun EU
CY - Brno
SN - 9788026317524
KW - Pipelines
KW - Tokens
KW - Sketch Engine
KW - Effectiveness
KW - Language
UR - https://nlp.fi.muni.cz/raslan/2022/paper20.pdf
N2 - This paper focuses on measuring the effectiveness of the most used language pipelines (48 pipelines) in Sketch Engine for potential future efficiency improvements. This paper will describe the tool for parallel measuring made for this task, analyze the problem before measuring, analyze and represent results from measured data, and end with a conclusion.
ER -
KOSTKA, Matúš. Pipeline Effectiveness in the Sketch Engine. In Aleš Horák, Pavel Rychlý, Adam Rambousek. \textit{Proceedings of the Sixteenth Workshop on Recent Advances in Slavonic Natural Languages Processing, RASLAN 2022}. Brno: Tribun EU, 2022, s.~123-130. ISBN~978-80-263-1752-4.
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