<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>The technological revolution that has occurred in recent decades has made accessible for researches large textual data collections. At the same time, the development of increasingly sophisticated computer tools provides them with new methods of analyzing texts. In the present study however we examine the functionalities offered by traditional tools, namely GNU/Linux tools, easily accessible via the command line but still unknown among linguists with little or no computer knowledge. Our goal is to show how using the web corpus on the one hand and the processing GNU/Linux tools on the other, we can extract key-terms of fishing jargon.</p>
</abstract>

The technological revolution that has occurred in recent decades has made accessible for researches large textual data collections. At the same time, the development of increasingly sophisticated computer tools provides them with new methods of analyzing texts. In the present study however we examine the functionalities offered by traditional tools, namely GNU/Linux tools, easily accessible via the command line but still unknown among linguists with little or no computer knowledge. Our goal is to show how using the web corpus on the one hand and the processing GNU/Linux tools on the other, we can extract key-terms of fishing jargon.

Extracting fishing terminology using GNU/Linux tools

Journal of Linguistics/Jazykovedný casopis

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Extracting fishing terminology using GNU/Linux tools"}

The technological revolution that has occurred in recent decades has made accessible for researches large textual data collections. At the same time, the...

Extracting fishing terminology using GNU/Linux tools

Published Online: Aug 17, 2022

Page range: 916 - 926

DOI: https://doi.org/10.2478/jazcas-2022-0016

Keywords
web corpus, GNU/Linux tools, key-term, fishing terminology

© 2022 Agnieszka K. Kaliska, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Extracting fishing terminology using GNU/Linux tools

Published Online: Aug 17, 2022

Page range: 916 - 926

DOI: https://doi.org/10.2478/jazcas-2022-0016

Keywordsweb corpus, GNU/Linux tools, key-term, fishing terminology

© 2022 Agnieszka K. Kaliska, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
web corpus, GNU/Linux tools, key-term, fishing terminology