Introduce contracted compiled patch tries for faster lookup, make compiled patch commands the primary runtime path, refresh stemmer benchmarks and documentation, and restructure the documentation for 3.0.0 onboarding. BREAKING CHANGE: Radixor 3.0.0 promotes compiled patch-command APIs and new compiled trie artifacts as the primary runtime integration model.
2.9 KiB
Benchmark Results
This section contains the published Radixor benchmark reference set. It is intentionally split into two layers:
- benchmark reference pages, which explain methodology, corpora, environment, candidate selection, and the English dictionary coverage experiment;
- language result pages, which contain the actual same-language accuracy and throughput tables.
This structure keeps methodology separate from per-language result pages, while preserving all measured data and the command-class analysis for each Radixor language resource.
Read This First
Start with Benchmarking for the high-level interpretation model. The most important rule is that speed and exact-root quality must be read together. Many competing stemmers are intentionally light, minimal, or aggressive; they can be fast because they are not trying to match dictionary roots with the same precision.
Radixor rows in the refreshed tables use contracted compiled patch tries. Contraction collapses uniform preferred-command subtrees into accepting leaves, reducing hot lookup depth while preserving the preferred result measured by the accuracy pass.
Reference Pages
| Page | Purpose |
|---|---|
| Methodology | Workload design, normalization, speed metrics, quality metrics, and interpretation rules. |
| Corpora | Dictionary row counts, complete quality tokens, already-root tokens, changed speed tokens, and timing token counts. |
| Environment and reports | Hardware, JVM, JMH settings, report files, and badge/report policy. |
| English dictionary coverage | Quality/speed operating curve for contracted Radixor tries built from 100% down to 10% of English dictionary rows. |
| Candidate evaluation | Included benchmark families and evaluated candidates that were skipped. |
Language Results
Each language page contains:
- the dictionary corpus size,
- the Radixor patch-command distribution,
- exact-root quality metrics,
- throughput metrics,
- interpretation notes for the compared stemmers.
Open Language Benchmark Pages for the complete language list.
Key Published Result
The English dictionary coverage benchmark shows the current contracted-trie operating curve. With
the full English dictionary, Radixor reaches 97.478% all-token exactness and 97.197%
changed-token exactness at 109.8 ns/token. Even with a deterministic 10% dictionary slice, it
keeps 92.868% all-token exactness and 76.516% changed-token exactness at 90.9 ns/token.
Those figures should not be reduced to a single speed badge. The professional interpretation is a quality/speed envelope: the amount and quality of dictionary knowledge affect stemming precision, while contracted tries reduce lookup cost in uniform regions of the compiled graph.