Draft — this is an outline while I write the full piece. Check back soon.
Before any model, there was the data. This write-up covers the corpus evaluation that came ahead of the autocomplete prototype: how I sampled it, what I measured, and why that work mattered more than the modeling that followed.
What this will cover
- How the 5M+ strings break down by locale and product
- Measuring repetition, and where translation memory already helps
- Cleaning decisions and the ones I got wrong the first time
- What the evaluation changed about the model plan
More to come here — the notes above are the skeleton I am filling in.