Lilt allows users to upload Translation Memories (TM) to supplement its baseline Memory when providing translation suggestions through the interactive, adaptive engine. This article describes:
How Lilt provides its suggestions
Lilt will automatically provide suggested translations the moment you select a segment in the CAT Editor. This suggestion is based on Lilt's baseline training data.
If you have uploaded a TM to the associated Memory, Lilt will scan the TM for segments that have similar words. If it finds segments with similar words and phrases that meet a 75% threshold (known as a Fuzzy Match), Lilt will display the TM's suggestion and describe it as such.
Lilt only shows one suggested phrase at a time. Users can open the Search Memory pane to view additional suggestions.
TM Matching order of operations
Lilt makes suggestions based on the following order of operations:
- In-Context Exact Match, also known as an ICE Match (sometimes called a Guaranteed Match). Not only does the selected segment have the exact same words as a segment in the TM (an Exact Match), the segments before and after the selected segment are also identical as three consecutive segments in the TM. If there are multiple ICE Matches, the most recent is chosen.
- Exact Matches. The selected segment has the exact same words as a segment in the TM. If there are multiple Exact Matches per a given source segment, the most recent is chosen. Note that Lilt does care about capitalization case sensitivity and punctuation differences.
- Fuzzy Matches. The selected segment has a number of similar words and phrases as a segment in the TM (roughly 75%), but there are significant differences.
- If no better matching exists, Lilt then defaults to its Machine Translation suggestion (MT).
If the Memory Search pane is open, Lilt will display all the suggestions it has available.