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 44:
How many machine translation options are there currently?
Chat GPT’s Response:
As of my last knowledge update in September 2021, there are numerous machine translation options available, each offering different features, capabilities, and approaches. Some of the prominent machine translation options include:
- Google Translate: A widely used neural machine translation system that supports a broad range of languages and offers both text and speech translation.
- Microsoft Translator: Offers translation APIs and tools for businesses, supporting various languages and focusing on integration with Microsoft Office and other products.
- DeepL: Known for its high-quality translations, DeepL uses deep neural networks and offers translation for several major languages.
- Amazon Translate: Part of Amazon Web Services (AWS), it provides a cloud-based translation service that can be integrated into applications and websites.
- IBM Watson Language Translator: A machine translation service by IBM Watson that supports a wide range of languages and can be used for various applications.
- Yandex.Translate: A machine translation service developed by Yandex, a Russian multinational company, offering translation for multiple languages.
- OpenNMT: An open-source neural machine translation framework that allows customization and training of translation models.
- Linguee: Combines machine translation with a translation memory to provide contextually relevant translations along with examples from bilingual texts.
- Promt: Offers machine translation solutions for businesses, including specialized versions for industries like legal, technical, and medical translation.
- SYSTRAN: Provides machine translation software and services with a focus on customization and domain-specific translation.
It’s important to note that the machine translation landscape is rapidly evolving, with ongoing research and development leading to new approaches and technologies. Additionally, various research projects and initiatives contribute to the diversity of machine translation options available. You may want to check for the latest developments and options beyond September 2021 to get the most up-to-date information.
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