The ATA Chronicle - May/June 2023 - 21

Additional research is necessary
to establish more refined
guidance to use ChatGPT as a
research tool, identify pitfalls,
and teach prompting.
Term Extraction
As part of a translation I'm
working on, I wanted to
learn the difference between
digitization, digitalization,
and digital transformation.
I found an article in Forbes
that discussed the differences
and thought I would let
ChatGPT do the work.
Here are the instructions,
known as prompts, I gave
it: " Extract terms and
definitions from this article
in Forbes: Bloomberg, Jason.
'Digitization, Digitalization,
and Digital Transformation:
Confuse Them at Your Peril,'
Forbes (April 29, 2018). " Here
are the results for terms.
used correctly (mostly
by humans).
Either we were a pretty
unimaginative bunch or we
simply didn't want to admit
how nice it would be if we had
someone, rather something,
write definitions for us. Sure,
as part of my PhD research 20
years ago, I envisioned that a
definition could be compiled
automatically from frames. In
other words, that a definition
www.ata-chronicle.online
could be compiled from
predefined concepts. Well,
we're there. Almost. Because
of ChatGPT.
But definition authoring
is one of the main tasks of a
terminologist. So, let's focus
first on how translators who
do terminology work as part
of their job might benefit
from ChatGPT. One task
could be term extraction plus
context extraction.
Terms:
y Digitization
y Digitalization
y Digital Transformation
As a start, that's pretty
darn good. Considering
the article contained many
other terms, it's somewhat
remarkable that ChatGPT
extracted the three in which
I was interested. But maybe I
was just lucky.
Before we look at the
definitions, let's examine
another extraction test. I
submitted 627 words of a
text from the Association for
German Terminology with the
following instructions: " Please
extract the 20 most important
terms from the following text. "
Here are the results:
The 20 most important
terms extracted from the
text are:
1. Fachkommunikation
(technical communication)
2. Wissenstransfers
(knowledge transfer)
3. Terminologien
(terminologies)
4. Begriffen (terms)
5. Fachleute (experts)
6. Daten (data)
7. Informationsquellen
(information sources)
8. Wissensmanagement
(knowledge management)
9. Begriffssystemen
(conceptual systems)
10. Datenbankverwaltung
(database management)
11. Prozessuntersuchungen
(process analysis)
12. Fachsprache (technical
language)
13. Terminologieextraktion
(terminology extraction)
14. Fachgebiete (fields of
expertise)
15. Terminologiesammlungen
(terminology collections)
16. Fachwörterbüchern
(technical dictionaries)
17. Äquivalenzstudien
(equivalence studies)
18. Sprachliche Hilfsmitteln
(linguistic tools)
American Translators Association 21

https://www.forbes.com/sites/jasonbloomberg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-them-at-your-peril/?sh=4cedfb622f2c https://www.forbes.com/sites/jasonbloomberg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-them-at-your-peril/?sh=4cedfb622f2c https://www.forbes.com/sites/jasonbloomberg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-them-at-your-peril/?sh=4cedfb622f2c https://www.forbes.com/sites/jasonbloomberg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-them-at-your-peril/?sh=4cedfb622f2c https://www.forbes.com/sites/jasonbloomberg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-them-at-your-peril/?sh=4cedfb622f2c http://www.ata-chronicle.online

The ATA Chronicle - May/June 2023

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