The ATA Chronicle - November/December 2024 - 20

Table 1. Comparisons of human-generated and ChatGPT-generated translations of Vietnamese from
covertly intercepted and recorded conversations.6
1
Transcription of intercepted spoken
Vietnamese to written Vietnamese
2 Word-for-word translation from written
Vietnamese to written English
3
4
Translation in English presented as TIE to
the jury
Correct translation produced by two
independent certified Vietnamese
translators after the trial concluded
5
ChatGPT translation7
(May 13, 2023)
Tôi không bi t chia. Tôi chia ra tôi m t th y m . Chia nó chút l n nào c ng m t.
I-not-know-divide. I-divide-out-I-lose-father-mother. Divide-it-little-little-timeeach-also-lose.
I
don't know how to divide it. Divide it and I would lose damn it.
I don't know how to divide it. I lose (some) when I divide it, damn it. Each time I
divide into small portions I lose (some).
" I don't know how to share. Whenever I share, I feel like I lose my mother.
Whenever I share, I always lose something. "
" I don't know how to divide. Whenever I divide things, I lose something,
especially my mother. Whenever I divide anything, I always lose something. "
" I don't know how to divide. Whenever I divide something, I feel like I lose a
part of myself. Every time I divide, I lose something. "
6
ChatGPT translation
(August 27, 2024)
Does AI Have a Role
to Play?
Evidence-based research
has been used to compare
the accuracy of human
to machine-generated
translations. Using AI
platforms, it's not difficult
to show that machine
translation is often
inaccurate. However, the
reliability of machine
translation has improved
significantly over a short
period. By embracing
the advantages machine
translation offers, this article
argues that the prospect of
realizing optimal translation
outcomes may be increased
in the production of TIE.
Humans and machines both
rely on their accumulated
knowledge and experience
to produce the translation
product. Biases are
" I don't know how to share. When I divide it, I feel like I lose my mother. Every
time I share it a little, I always lose. "
unavoidable in machine
programming and learning,
just as humans have
inherent and inescapable
biases when applying
their translation skills and
contextual knowledge. One
may argue that humans
have the advantage of
judgement and intuition,
but these attributes have
shown to be a potential
deficiency when compared to
translations produced by AI,
as demonstrated in Table 1
above.5
Human Versus
AI Translations
To determine how machine
translation performs in
the forensic transcription/
translation space, I compared
extracts of human-produced
TIE to ChatGPT translations
of the same intercepted
20 The ATA Chronicle | November/December 2024
LOTE conversation. I used
ChatGPT to translate
transcriptions of lawfully
and covertly recorded
Vietnamese conversations
used as TIE in a drugrelated
trial in Australia. The
human-produced TIE was
adduced as evidence against
the LEP defendant to prove
the charge of trafficking a
drug of dependence, namely
heroin. I found significant
errors in both the human
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