Term Extraction
Term extraction sends your project’s source text to your configured AI model and returns a proposed bilingual project glossary – source terms paired with translations – which you review, edit, and turn into a project termbase in one step.
Opening the extraction dialogue
Go to the Termbases tab and click 🔍 Extract Terms in the button bar beneath the termbase list, next to + Create New.
Extraction reads the source segments of the open project, so open a project first – clicking with none open just tells you to.
Choosing the source text
The dialogue offers two sources:
- Use project segments (default) – extracts from all source segments in the loaded project.
- Paste text manually – enables the text box below, so you can extract from arbitrary text. Useful for a reference document or a client’s style guide.
Extraction settings
| Setting | Default | What it does |
|---|---|---|
| Source Language | the project’s source language | Tells the model what language the text is in. Free text – any language works. |
| Target Language | the project’s target language | The language the model translates each term into. |
| Domain / Subject | blank | Optional hint, e.g. mechanical engineering or sewing machines. Leave blank and the model infers the domain from the text itself. |
Click 🤖 Extract Terms with AI. Small texts return in seconds; a full-length document (e.g. a complete patent application) takes a minute or so. The dialogue stays responsive while it runs.
Reviewing the results
Results fill a table of term pairs:
| Column | Meaning |
|---|---|
| Select | Tick box controlling whether the pair is added. Every row starts ticked. |
| Source | The term, in its canonical (dictionary) form. Editable – click to correct. |
| Target | The model’s translation. Editable. May be empty where the model was unsure – fill it in or untick the row. |
| Note | Optional context from the model, such as a domain label or a caveat. |
Edit cells directly to fix anything before committing – your edits are what gets saved, not the model’s original answer.
To tick or untick many rows at once, select them (Shift/Ctrl+click) and right-click → Untick selected / Tick selected.
On very large projects only the first portion of the text (roughly 8–9k words) is analysed, and the results label says so explicitly – nothing is truncated silently.
Creating the project termbase
Click Create Project Termbase, then give it a name. The default is <Project name> Terminology.
Supervertaler creates a project-scoped bilingual termbase containing every ticked pair and makes it the Project termbase – it appears in the Termbases tab with the pink Project tick and Read enabled, so terms with targets immediately produce TermLens suggestions. Empty-target entries can be completed later – see Creating termbases.
Tips
- The model’s output is a proposal, not a verdict – review it as you would any AI suggestion, especially target translations of ambiguous terms.
- A one-word domain hint noticeably improves precision on specialised texts.
- If you build prompts with AutoPrompt, note that it already performs glossary extraction as part of prompt generation – the two are complementary: this feature produces a termbase you can edit, share, and reuse across sessions.