My Conversations with ChatGPT
Machine Translation (MT) and translations generated by AI have brought about a paradigm shift in the translation industry. The output of MT will continue to improve, especially when associated with clients’ translation memories and human editing. Language Service Providers are adapting and are including MT in their processes, when MT is applicable. While linguists will continue to be essential in the process, their role will shift from that of translators to validators of content generated by MT. At Excel Translations, we wanted to know what AI thinks about all of this and decided to have an open conversation on the matter with ChatGPT. I will regularly publish a question and ChatGPT’s response, uncensored.
QUESTION 132:
Do customers prefer a specific machine translation tool when requesting quotes from an LSP?
Chat GPT’s Response:
Customer preferences for machine translation tools can vary depending on various factors such as their specific industry, language pairs, and quality expectations. However, some machine translation tools have gained popularity and trust in the industry due to their reliability and performance. Some of these commonly preferred machine translation tools include:
Google Translate: Google Translate is widely used and recognized for its broad language coverage and continuous improvement in quality, especially for common language pairs.
- DeepL: DeepL is known for its high-quality translations, particularly in European languages, and is often favored for its accuracy and natural-sounding output.
- Microsoft Translator: Microsoft Translator offers a range of features including text translation, speech translation, and image translation, making it a versatile option for various translation needs.
- SDL Language Cloud: SDL Language Cloud provides machine translation services with options for customization and integration with other translation tools, making it appealing for businesses with specific requirements.
- Amazon Translate: Amazon Translate is part of Amazon Web Services (AWS) and offers scalable and reliable machine translation services with support for a wide range of language pairs.
When customers request quotes from Language Service Providers (LSPs), they may specify their preferred machine translation tool based on their prior experience, industry standards, or specific project requirements. Some customers may also rely on the expertise of the LSP to recommend the most suitable machine translation tool based on factors such as language pair, domain expertise, and desired level of quality. Ultimately, the choice of machine translation tool may vary from one customer to another, and LSPs should be flexible in accommodating the preferences and needs of their clients.
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