Gudrun Magnusdottir’s Post

One of the critical problems LSPs face today is the fixation on #translation and AI supporting that. This is living in the past and translation as a task is inevitably shrinking. Forward looking LSPs are those that will survive. Those that realize the value being created for customers through their work with language. Infusing that work with knowledge through semantic markup i.e. terminology turned knowledge graphs https://lnkd.in/e4trxUYV . Making your work an internal part of your customers #AI strategy to support them to understand their customers and their market.

Multilingual AI

Multilingual AI

https://coreon.com

Jochen Hummel

CEO Coreon & ESTeam - Multilingual AI and LangOps

3mo

To elevate terminology to knowledge is an important part of every #LangOps implementation. Combining LLMs with Knowledge Graphs addresses many AI problems like hallucination, lack of domain knowledge, or use of corporate lingo.

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