2013
Methods for Detection of Word Usage over Time
KOVÁŘ, Vojtěch and Ondřej HERMANBasic information
Original name
Methods for Detection of Word Usage over Time
Authors
KOVÁŘ, Vojtěch ORCID (203 Czech Republic, guarantor, belonging to the institution) and Ondřej HERMAN (203 Czech Republic, belonging to the institution)
Edition
Brno, Seventh Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2013, p. 79-85, 7 pp. 2013
Publisher
Tribun EU
Other information
Language
English
Type of outcome
Proceedings paper
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Czech Republic
Confidentiality degree
is not subject to a state or trade secret
Publication form
printed version "print"
References:
RIV identification code
RIV/00216224:14330/13:00070354
Organization unit
Faculty of Informatics
ISBN
978-80-263-0520-0
Keywords in English
word usage; time series; regression methods; Theil-Sen estimator; Mann-Kendall test;
Tags
International impact, Reviewed
Changed: 26/5/2021 21:20, RNDr. Vojtěch Kovář, Ph.D.
Abstract
V originále
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.
Links
| LM2010013, research and development project |
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