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

<p>In this short essay, I aim to ruminate on the nature of a corpus linguist’s work in the 2020s, a time marked by unprecedented advancements in the field of computer technologies and artificial intelligence. This seems to be particularly relevant considering the theme of the 12<sup>th</sup> International Conference Slovko 2023, which is “Natural Language Processing and Corpus Linguistics”. In the last two decades or so, corpus linguistics has drawn extensively from the fields such as statistics, computer science and data science. In many respects corpus linguistics has served as a significant source of inspiration for progress in the field of natural language processing (NLP), leading to the development of large language models (LLMs) as well as recent introduction of conversational artificial intelligence, among others. Thus, in this paper I will make an attempt at identifying the skills that may help rank-and-file or aspiring corpus linguists to survive and, hopefully, flourish in the research field in the 2020s.</p>
</abstract>

In this short essay, I aim to ruminate on the nature of a corpus linguist’s work in the 2020s, a time marked by unprecedented advancements in the field of computer technologies and artificial intelligence. This seems to be particularly relevant considering the theme of the 12th International Conference Slovko 2023, which is “Natural Language Processing and Corpus Linguistics”. In the last two decades or so, corpus linguistics has drawn extensively from the fields such as statistics, computer science and data science. In many respects corpus linguistics has served as a significant source of inspiration for progress in the field of natural language processing (NLP), leading to the development of large language models (LLMs) as well as recent introduction of conversational artificial intelligence, among others. Thus, in this paper I will make an attempt at identifying the skills that may help rank-and-file or aspiring corpus linguists to survive and, hopefully, flourish in the research field in the 2020s.

Statistician, Programmer, Data Scientist? Who is, or Should Be, a Corpus Linguist in the 2020s?

Journal of Linguistics/Jazykovedný casopis

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

In this short essay, I aim to ruminate on the nature of a corpus linguist’s work in the 2020s, a time marked by unprecedented advancements in the field of...

Statistician, Programmer, Data Scientist? Who is, or Should Be, a Corpus Linguist in the 2020s?

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 52 - 59

DOI: https://doi.org/10.2478/jazcas-2023-0023

Schlüsselwörter
corpus linguistics, statistics, computer programming, natural language processing, artificial intelligence

© 2023 Łukasz Grabowski, published by Sciendo

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

Statistician, Programmer, Data Scientist? Who is, or Should Be, a Corpus Linguist in the 2020s?

Online veröffentlicht: 25. Dez. 2023

Seitenbereich: 52 - 59

DOI: https://doi.org/10.2478/jazcas-2023-0023

Schlüsselwörtercorpus linguistics, statistics, computer programming, natural language processing, artificial intelligence

© 2023 Łukasz Grabowski, published by Sciendo

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

Schlüsselwörter
corpus linguistics, statistics, computer programming, natural language processing, artificial intelligence