Files
Radixor/docs/benchmarks/languages/ukrainian.md

5.1 KiB

Ukrainian Stemmer Benchmarks

This page reports same-language stemming benchmarks for Ukrainian. Accuracy is listed first because speed without root agreement is not enough to interpret stemmer quality.

All speed values are environment-specific and were measured on the hardware and JVM listed in the benchmark overview. Speed benchmark operations process changed dictionary tokens only. Accuracy uses the complete Radixor dictionary for the language.

Radixor must not be read as simply "slower" when a narrow competitor has a lower timing row. In these tables Radixor is the quality-oriented baseline: its exact-root accuracy is typically close to 100%, while many faster rule-based, light, minimal, or possessive filters reach that speed by doing much less linguistic work and often score far lower in All exact and Changed exact. The Radixor rows in this benchmark refresh use the contracted compiled patch trie: compilation collapses uniform patch-command subtrees into accepting leaves, reducing hot lookup depth while preserving the preferred stemming result measured by the accuracy pass. The EnglishRadixorDictionaryCoverageBenchmark table shows the resulting quality/speed envelope explicitly. The same interpretation applies to this language page: speed rows must be read together with the accuracy table above them.

Dictionary Corpus

Resource Dictionary rows Complete quality tokens Already-root tokens Changed speed tokens
UK_UA 1,493 15,737 2,985 12,752

Radixor Patch Command Distribution

Radixor stores the preferred transformation for each normalized dictionary word form as a compiled patch command. This distribution shows which runtime command class is selected by the trained trie for the complete language dictionary. The total number of preferred patch commands analyzed for this language is 15,737.

Command class Meaning Word forms Share
AppendCharacterCommand Appends one character to the end of the word form. 249 1.582%
BackwardCompoundCommand Applies a multi-step backward patch made from skip, delete, insert, and replace operations. 4,160 26.435%
DeleteSuffixCommand Deletes one or more trailing characters from the word form. 5,859 37.231%
PreserveCommand Returns the word form unchanged because it already matches the preferred root. 3,004 19.089%
ReplaceLastCharacterCommand Replaces the final character of the word form. 2,465 15.664%

Accuracy

Accuracy is computed from JMH auxiliary counters in the current report. The counters are deterministic for a fixed corpus and stemmer; percentages divide matching counters by evaluated counters from the same report and are not timing metrics.

Stemmer All exact Changed exact Root preserved Note
Radixor 99.307% 99.365% 99.062% Full Radixor dictionary patch-command stemmer.
Lucene HunspellStemFilter 86.815% 83.759% 99.866% Benchmark-only Ukrainian Hunspell dictionary compared via Lucene HunspellStemFilter.
Lucene MorfologikFilter 92.362% 90.637% 99.732% Dictionary-based path; Morfologik can emit multiple terms.
Morfologik direct 92.362% 90.637% 99.732% Direct dictionary lookup; first returned stem is used for quality when no ranking weight is exposed.

Speed

Speed uses JMH average time, 3 warmup iterations, 5 measurement iterations, 1 fork, 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 ukrainianRadixor 0.682 0.057 53.5 1.000 Full Radixor dictionary patch-command stemmer.
Lucene HunspellStemFilter luceneHunspellStemFilter 43.527 1.207 3413.3 63.799 Benchmark-only Ukrainian Hunspell dictionary compared via Lucene HunspellStemFilter.
Morfologik direct ukrainianMorfologikDirect 8.680 0.073 680.7 12.723 Direct Morfologik dictionary lookup; first returned stem is used for quality.
Lucene MorfologikFilter ukrainianLuceneMorfologikFilter 14.575 0.248 1143.0 21.364 Dictionary-based Morfologik TokenFilter; may emit multiple terms.

Interpretation Notes

  • Radixor is a dictionary-derived patch-command stemmer. Its quality depends on the language resource used to train the compiled trie.
  • 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.
  • Snowball rows are rule-based generated suffix stemmers; they are useful algorithmic baselines, not dictionary-root equivalence guarantees.