## 2 Background
### Machine Translaters
This difference also leads to variable results, as the outputs of the translations may vary depending on the prompt used. To systematically compare these tools, a literature review has been conducted, assessing various characteristics as summarized in Table 1. This section categorizes the findings into three main areas: machine translation systems, translation platforms, and GenAI models. DeepL [20] is a machine translation service developed by DeepLSE. Although it does not support multitasking, it offers advanced functionalities through its API, enabling automation and script-based translation workflows. In terms of input formats, DeepL supports a wide range, with size and character limitations depending on the subscription \begin{table}
\begin{tabular}{c c c} \hline \hline
**No.** & **Characteristic** & **Description** \\ \hline
1 & Multitasking & Performs multiple tasks (translation, summarization, etc.). \\
2 & API & Does it have an API? What features does it offer? \\
3 & Automation & Does it allow automation of input and output? \\
4 & Input Formats & Formats accepted as input. \\
5 & Output Formats & Formats generated as output. \\
6 & Scoring & Does it calculate scores? How does it compute them? \\
7 & Customization & Can the tool be modified or programmed? \\
8 & Data Sources & What sources does it use for translation? \\
9 & Local/Online & Does it function locally or only online? \\
10 & Proprioter & Owning company or developer. \\
11 & Technology & Translation technologies used. \\
12 & Generalist/Specialized & Is it a generalist or specialized tool? \\
13 & Update Frequency & How frequently is it updated? \\ \hline \hline \end{tabular}
\end{table} 
Table 1: Evaluated characteristics of machine translation tools. plan. The translation output varies based on the interface: the DeepL web platform provides direct text-based translations, whereas the API allows results to be obtained in JSON format for text or as translated documents. While DeepL does not permit direct modifications to its translation models, it offers customization features, such as the selection of preferred terminology. The service operates exclusively online via its official platform and is classified as a general-purpose tool due to its ability to translate diverse text types across various domains. Although the update frequency is not explicitly stated, DeepL regularly releases improvements to enhance translation quality and overall functionality. ChatGPT-3.5 [25], developed by OpenAI, is a versatile language model capable of multitasking, allowing it to process multiple requests simultaneously. It provides an API, though it operates under a paid model, with pricing contingent on usage and the selected model version. Through its API and automated scripting, ChatGPT-3.5 can facilitate translation processes efficiently. The tool supports various input formats, including text, voice, and multiple file types, while generating outputs primarily in text format. As a general-purpose natural language processing model, ChatGPT-3.5 is not explicitly designed for translation but demonstrates high adaptability across linguistic tasks. However, it does not support the direct integration of specialized corpora for domain-specific translations. The tool functions exclusively online and undergoes frequent updates to refine its capabilities and expand its knowledge base. Google Translate [21], developed by Google, is a widely used machine translation tool. Unlike some AI-based models, it does not support multitasking, meaning it processes translations sequentially. However, it provides an API that requires a billing account on the Google Cloud Platform, enabling automation through scripts for text input and retrieval of translated content. Google Translate supports a diverse range of input formats, including text, voice, images, documents, and web pages. Translations are primarily output as text, though document and website translations are also available.