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@inproceedings{1131909,
author = {Kovář, Vojtěch and Herman, Ondřej},
address = {Brno},
booktitle = {Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013},
keywords = {word usage; time series; regression methods; Theil-Sen estimator; Mann-Kendall test;},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno},
isbn = {978-80-263-0520-0},
pages = {79-85},
publisher = {Tribun EU},
title = {Methods for Detection of Word Usage over Time},
url = {https://nlp.fi.muni.cz/raslan/2013/paper11.pdf},
year = {2013}
}
TY - JOUR
ID - 1131909
AU - Kovář, Vojtěch - Herman, Ondřej
PY - 2013
TI - Methods for Detection of Word Usage over Time
PB - Tribun EU
CY - Brno
SN - 9788026305200
KW - word usage
KW - time series
KW - regression methods
KW - Theil-Sen estimator
KW - Mann-Kendall test;
UR - https://nlp.fi.muni.cz/raslan/2013/paper11.pdf
N2 - From a natural language corpus, word usage data over time can be extracted. To detect and quantify change in this data, automatic procedures can be employed. In this work, I describe the application of ordinary and robust regression methods to time series extracted from natural language corpora.
ER -
KOVÁŘ, Vojtěch a Ondřej HERMAN. Methods for Detection of Word Usage over Time. In \textit{Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013}. Brno: Tribun EU. s.~79-85. ISBN~978-80-263-0520-0. 2013.
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