Lilt organizes translation data into containers called Memories. This article describes describes the specifics of Memories and how they function, including:
- What are Memories?
- About the Default Memory
- How Memories are Trained and Updated
- Best Practices for using Memories
To learn more about managing Memories, see: How to Use Memories
What are Memories?
A Memory is a collection of source/target sentences for a specific language pair (e.g., English>French). The data in the Memory is used to train the MT system, populate the Translation memory (TM), and update the termbase.
Memories are private to your account—the data is not shared across users. However, as a project manager you can share a Memory with your team so that all project managers within that team can access and modify the Memory (e.g. upload TMs, edit termbases, etc.).
About the Default Memory
Lilt comes with a standard, Default Memory for each supported Language Pair. This memory is based on generally available data with no domain-specific suggestions (unless you import additional TMs or Termbase files into the Default memory).
All projects that are not associated with a specific Memory automatically share this same Default Memory.
How Memories are Trained and Updated
Memories in Lilt are automatically updated and trained whenever the translation of a segment is confirmed. Each confirmed segment helps Lilt adapt both the CAT Editor and the Lexicon to your style and field of specialization.
Best Practices for using Memories
Lilt works best when it can first learn from a TM that contains similar content to the text to be translated. You can create a separate custom memory, specializing the suggestions you see, for each client or for broader domains like legal contracts or IT documentation. The same intuitions that apply to organize traditional translation memories apply here. In fact, creating custom memories for each domain or client rather than aggregating all data into one (e.g. the default memory) can prevent latency issues and improve speed as well as improve the translation quality of the suggestions.
To learn more about creating custom memories or importing existing TMs, see: How to Use Memories