Egothor/Radixor
2
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

feat(python): add native distribution and release infrastructure

Browse Source 
- add the Rust-backed Python API with PyStemmer compatibility
- distribute standard compiled models as a separate Python package
- generate model artifacts during builds instead of storing them in Git
- add GitHub release and Pages-backed package index workflows
- add Python tests, benchmarks, documentation, and Gradle integration
- refresh the documentation site, branding, and language benchmarks
This commit is contained in:
Leo Galambos
2026-08-10 22:34:32 +02:00
parent b45e143c84
commit 5e3d3c7c7d
139 changed files with 11420 additions and 747 deletions
Download Patch File Download Diff File Expand all files Collapse all files

24
docs/benchmarks/languages/yiddish.md
View File

@@ -8,9 +8,9 @@ Radixor must not be read as simply "slower" when a narrow competitor has a lower
## Dictionary Corpus
| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed speed tokens |
| --- | --- | --- | ---: | ---: | ---: | ---: |
| `yi-default` | `1.0.0` | `YI` | 802 | 4,300 | 1,524 | 2,776 |
| Model ID | Model version | Language | Dictionary rows | Complete quality tokens | Already-root tokens | Changed tokens | JMH timing tokens |
| --- | --- | --- | ---: | ---: | ---: | ---: | ---: |
| `yi-default` | `1.0.0` | `YI` | 802 | 4,300 | 1,524 | 2,776 | 5,000 |
## Radixor Patch Command Distribution
@@ -29,29 +29,23 @@ Accuracy is computed from JMH auxiliary counters in the current report. The coun
| Stemmer | All exact | Changed exact | Root preserved | Note |
| --- | ---: | ---: | ---: | --- |
| Radixor | 98.930% | 98.343% | 100.000% | Full Radixor dictionary patch-command stemmer. |
| Radixor | 98.930% | 98.343% | 100.000% | Radixor dictionary-trained patch-command stemmer. |
| Lucene SnowballFilter | 2.837% | 2.558% | 3.346% | Lucene TokenFilter integration path around the Snowball algorithm. |
| Official Snowball direct | 2.837% | 2.558% | 3.346% | Official Snowball generated Java stemmer; rule-based suffix algorithm. |
## Speed
Speed uses JMH average time, 5 warmup iterations, 10 measurement iterations, 3 independent forks, and 1 thread. Relative factor is computed against the single Radixor row on this language page. Values below 1.000 are faster than that Radixor baseline; values above 1.000 are slower.
| Stemmer | Benchmark method | Score ms/op | Error ms | ns/token | Relative vs Radixor | Note |
| --- | --- | ---: | ---: | ---: | ---: | --- |
| Radixor | `radixor[YIDDISH]` | 0.249 | 0.001 | 89.6 | 1.000 | Full Radixor dictionary patch-command stemmer. |
| Official Snowball direct | `snowballDirect[YIDDISH]` | 1.574 | 0.066 | 567.1 | 6.330 | Official Snowball generated Java stemmer; direct API. |
| Lucene SnowballFilter | `luceneSnowballFilter[YIDDISH]` | 1.849 | 0.079 | 665.9 | 7.434 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
| Radixor | `radixor[YIDDISH]` | 0.234 | 0.001 | 46.8 | 1.000 | Radixor dictionary-trained patch-command stemmer. |
| Official Snowball direct | `snowballDirect[YIDDISH]` | 1.487 | 0.062 | 297.5 | 6.354 | Official Snowball generated Java stemmer; direct API. |
| Lucene SnowballFilter | `luceneSnowballFilter[YIDDISH]` | 1.754 | 0.070 | 350.8 | 7.492 | Lucene TokenFilter path around Snowball; includes TokenStream overhead. |
## Interpretation Notes
- Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
- Radixor is a dictionary-trained patch-command stemmer. Its learned transformations can generalize beyond the word forms listed in the training resource.
- Light, minimal, plural, and possessive filters are narrow baselines. They can be fast because they intentionally perform less linguistic work.
- Lucene TokenFilter rows include TokenStream, attribute, and required normalization overhead. Direct rows measure exposed direct APIs.
- Morfologik rows are dictionary-based and can emit multiple terms for one input token. Quality rows use the first returned term when no ranking weight is available.
@@ -311,7 +305,7 @@ Standard ARI, homogeneity, completeness, V-measure, and NMI are not calculated:
### Provenance
- Authoritative source: `docs/benchmarks/data/stemming-quality.csv`
- Source SHA-256: `edf16b07be8a535943ddf37caeb8807755c95e9e1fb13244145f28be74b491d8`
- Source SHA-256: `d34f325da320a2e040b54d8d8b5c216d70448f08cfb8659a423e99882aa1afb5`
- Evaluation command: `./gradlew stemmingQuality --no-daemon`
- Dictionary language: `YI`
- Processing modes: `ALL_WORDS`, `LOWERCASE_GROUPS_ONLY`