Performance Comparison of Known AI Translation Tools for Turkish Language

Nowadays, artificial intelligence technologies are used in every field. One of these is translation tools for both academic and individual communication. These tools are used to communicate and transfer information by translating from Turkish to English and from English to Turkish. However, there is no detail about how accurate the translations made with these translation methods are. In this study, the English-Turkish translation performances of Google Translate, Amazon Translate and OpenAI GPT translation services were analyzed. After the translation process, the vector representations of the original Turkish texts and the Turkish texts obtained with the translation were compared. For this purpose, semantic similarity rates were obtained using Levenshtein distance and Cosine Similarity, and performance evaluation was made by considering the averages of these similarity rates and criteria such as time, cost and limitations.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-08
DOI
https://doi.org/10.5281/zenodo.13269233
Citations
1
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

Performance Comparison of Known AI Translation Tools for Turkish Language

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Natural Language Processing Techniques
0.35
article

Performance Comparison of Known AI Translation Tools for Turkish Language

article en
1 citations

Abstract

Nowadays, artificial intelligence technologies are used in every field. One of these is translation tools for both academic and individual communication. These tools are used to communicate and transfer information by translating from Turkish to English and from English to Turkish. However, there is no detail about how accurate the translations made with these translation methods are. In this study, the English-Turkish translation performances of Google Translate, Amazon Translate and OpenAI GPT translation services were analyzed. After the translation process, the vector representations of the original Turkish texts and the Turkish texts obtained with the translation were compared. For this purpose, semantic similarity rates were obtained using Levenshtein distance and Cosine Similarity, and performance evaluation was made by considering the averages of these similarity rates and criteria such as time, cost and limitations.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 28%
Natural Language Processing Techniques
0.35
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