Sistemy i Sredstva Informatiki [Systems and Means of Informatics]
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive
Impact factor

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Sistemy i Sredstva Inform.:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2023, Volume 33, Issue 3, Pages 117–128
DOI: https://doi.org/10.14357/08696527230310
(Mi ssi901)
 

Machine translation by ChatGPT: Monitoring of outcome reproducibility

A. Yu. Egorovaab, I. M. Zatsmana, V. O. Romanenkoa

a Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119133, Russian Federation
b Moscow State Linguistic University, 38 Ostozhenka Str., Moscow 119034, Russian Federation
References:
Abstract: The paper considers the question of monitoring the reproducibility of the results performed by ChatGPT chatbot over a time interval for solving a mathematical task, generating code, and resolving a visual puzzle. A brief review of the experimental data for monitoring the reproducibility of the results for these three applications is given. The presented data show that the outcomes of ChatGPT when solving the same problem may change over time. At the same time, significant changes may occur in a relatively short period of time which emphasizes the need to monitor and evaluate the behavior of the ChatGPT chatbot. The main goal of the paper is to study the reproducibility of the machine translation outcomes performed by ChatGPT over a given time interval. The experimental data obtained during the monitoring of outcome reproducibility demonstrate some changes in the results including the decline in translation quality of the same text fragments over a time interval. To monitor the outcome reproducibility and evaluate the behavior of ChatGPT, a previously developed method for interval evaluation of machine translation is used.
Keywords: ChatGPT applications, monitoring, outcome reproducibility, machine translation, interval evaluation.
Received: 14.08.2023
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. Yu. Egorova, I. M. Zatsman, V. O. Romanenko, “Machine translation by ChatGPT: Monitoring of outcome reproducibility”, Sistemy i Sredstva Inform., 33:3 (2023), 117–128
Citation in format AMSBIB
\Bibitem{EgoZatRom23}
\by A.~Yu.~Egorova, I.~M.~Zatsman, V.~O.~Romanenko
\paper Machine translation by ChatGPT: Monitoring of outcome reproducibility
\jour Sistemy i Sredstva Inform.
\yr 2023
\vol 33
\issue 3
\pages 117--128
\mathnet{http://mi.mathnet.ru/ssi901}
\crossref{https://doi.org/10.14357/08696527230310}
\edn{https://elibrary.ru/LTOWWN}
Linking options:
  • https://www.mathnet.ru/eng/ssi901
  • https://www.mathnet.ru/eng/ssi/v33/i3/p117
  • Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Системы и средства информатики
    Statistics & downloads:
    Abstract page:60
    Full-text PDF :38
    References:20
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024