Ask ChatGPT – December 5, 2023

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 87:

How are LSP’s marketing their machine translation options to promote their brand in 2023?

Chat GPT’s Response:

As of my last knowledge update in January 2023, I can provide some general trends and strategies that language service providers (LSPs) might employ to market their machine translation options. However, please note that specific marketing strategies can evolve, and it’s advisable to check the latest industry updates for the most current information.

1. Customization for Industry Verticals: LSPs may highlight the adaptability of their machine translation models to specific industry verticals. Customized solutions catering to the unique terminology and context of industries such as legal, healthcare, finance, and technology can be emphasized.
2. Integration with Translation Management Systems (TMS): Marketing efforts may focus on seamless integration with popular Translation Management Systems, making it easier for clients to incorporate machine translation into their existing workflows. Highlighting compatibility with industry-standard tools can be a key selling point.
3. Emphasis on Neural Machine Translation (NMT) Advancements: LSPs may showcase the use of advanced Neural Machine Translation models for improved translation quality. Promoting how their models continuously learn and adapt to language nuances and user feedback can be a compelling marketing message.
4. Quality Assurance and Post-Editing Services: To address concerns about the accuracy of machine translation, LSPs may emphasize their quality assurance processes. Offering post-editing services by human translators to refine machine-generated translations can be positioned as a value-added service.
5. User-Friendly Interfaces and APIs: Marketing materials may highlight user-friendly interfaces that make it easy for clients to use machine translation tools. Additionally, accessibility through well-documented APIs for integration into various platforms can be emphasized.

In the rapidly evolving field of machine translation, LSPs that effectively communicate the benefits, customization options, and reliability of their solutions are likely to stand out in the market. It’s essential for LSPs to stay attuned to industry trends and continually refine their marketing strategies to meet evolving client needs.