Ukrainian Frequency / Field Data

The words that pay off first

A lemma-based, coverage-graded frequency list for modern Ukrainian, built as open data. It answers a practical question with a real number: how much of what you read does a given amount of vocabulary actually unlock?

Open datasetRefreshed 2026-07-14 · v0.1.0 · CC-BY-4.0

Why a frequency list, and why lemmas

The report that started this series was blunt about the gap: for Ukrainian, the frequency lists a serious learner needs are thin, often wordform-based, and sometimes quietly calqued from Russian. A wordform list scatters a single word's frequency across a dozen or more inflected forms, so it understates how much a given amount of vocabulary buys you.

This list counts lemmas instead, the dictionary form a learner actually studies, with its part of speech. It is derived from a large, modern, native-authored corpus, so it reflects the Ukrainian people actually write today, not a mid-century textbook.

12,000
lemmas ranked
1.5B
word tokens in the source corpus
60.74%
covered by the top 1,000 lemmas
82%
covered by the top 5,000 lemmas
Coverage

The coverage curve

0%25%50%75%100%1005001,0005,00012,000Lemmas learned (most frequent first)
What share of running word tokens the top N lemmas account for. The curve is the honest answer to how far a vocabulary goes.

For comparison, in English the ~2800 words of the General Service List average about 82% coverage. Ukrainian needs far more lemmas to reach the same place. That is the inflection tax, measured.

The list

The list itself

The most frequent lemmas, with part of speech and per-mille frequency. The full 12,000 are in the download.

#LemmaPOSper mille
1вADP20.7489
2наADP20.6735
3уADP18.6486
4іCCONJ16.5815
5зADP15.259
6бутиVERB10.6332
7неPART10.4292
8щоSCONJ10.3296
9доADP9.1939
10заADP8.5376
11таCCONJ8.4347
12якийDET7.9025
13рікNOUN6.6948
14проADP6.2134
15вінPRON6.1849
16УкраїнаPROPN5.8085
17цеPRON5.7827
18аCCONJ4.994
19цейDET4.3466
20якSCONJ4.203
21дляADP4.1004
22відADP3.9154
23яPRON3.642
24вониPRON3.403
Where the milestones land
60.74%
Top 1,000 lemmas: 60.74% of text
#1,000: тощо PART
70.5%
Top 2,000 lemmas: 70.5% of text
#2,000: ліквідація NOUN
82%
Top 5,000 lemmas: 82% of text
#5,000: перевозити VERB
88.39%
Top 10,000 lemmas: 88.39% of text
#10,000: безсмертний ADJ

What kind of words they are

Part-of-speech make-up of the released list. Proper nouns are included and labeled, so you can filter them out.

NOUN5,154 (43%)
ADJ2,418 (20.2%)
VERB2,109 (17.6%)
PROPN1,335 (11.1%)
ADV641 (5.3%)
PART87 (0.7%)
ADP80 (0.7%)
DET48 (0.4%)
SCONJ32 (0.3%)
NUM31 (0.3%)
PRON30 (0.3%)
CCONJ25 (0.2%)
INTJ10 (0.1%)
Roadmap

The series roadmap

Thread one is released. The rest are registered honestly as planned, each naming the open source it will build on. No thread claims a result it does not yet have.

01

The lemma frequency list

Released

The top 12000 lemmas of modern Ukrainian, ranked by corpus frequency, each with its part of speech, per-mille frequency, cumulative running-text coverage, and a thousand-rank frequency band. Published as CSV and JSON, plus an Anki-importable deck seed.

Study the words that actually pay off first, in the right order, as lemmas rather than scattered wordforms. See exactly how much reading coverage a given amount of vocabulary buys.

For: learners, teachers, tool builders, researcherslang-ukDownload the release
02

CEFR alignment

Planned

Map the frequency list onto validated CEFR levels (A1 to C2) by cross-referencing the emerging corpus-based Ukrainian vocabulary profile, so the bands mean a proficiency level and not just a frequency rank.

Know which words belong to which level, so a course or a deck can be built to a target.

03

The derussification pass

Planned

Flag Russianisms and Surzhyk forms on the list and pair them with the idiomatic native alternative, using the open Ukrainian morphological and style tooling (VESUM and LanguageTool Pravopysnyk).

Learn the idiomatic word, not the calqued one that older materials quietly teach.

For: learners, teachers, tool builderslang-uk
04

Audio and paradigms

Planned

Attach a pronunciation and the full inflection paradigm to each lemma, from the open Wiktionary declension and conjugation tables and open pronunciation audio, so the Anki deck teaches a lemma plus its forms rather than a bare headword.

Hear the word and see how it changes across the seven cases and the aspect pairs, the part that inflection makes hard.

For: learners, tool builderslang-uk
05

The vocabulary-size test

Released

A self-scoring yes or no vocabulary-size test drawn from this list: 60 real lemmas and 60 constructed pseudowords, stratified across the 12 frequency bands, scored with the standard false-alarm correction and mapped onto the coverage curve. No Ukrainian equivalent exists off the shelf.

Measure your vocabulary against a real proficiency proxy instead of guessing, and see roughly how much running text that vocabulary actually unlocks.

Download

The open-data release

Everything on this page re-derives from these files. They are versioned and hashed. The list is CC-BY: use it, fork it, build on it.

The lemmas.anki.tsv file imports straight into Anki as a frequency deck seed.

Versionv0.1.0
LicenseCC-BY-4.0
Cite
Lawrence, J. (2026). Ukrainian Frequency: a lemma-based, coverage-graded open frequency list (v0.1.0). jakelawrence.xyz/research/ukrainian-frequency. Derived from UberText 2.0 (Chaplynskyi, 2023).
Verify

Verify it yourself

These checks re-run in your browser against the shipped numbers. If any fails, the release is inconsistent and the page says so.

Methods

Methods and provenance

The frequency signal is the UberText 2.0 lemma frequency dictionary (lang-uk). This release re-publishes derived aggregate counts, which are facts, not the source corpus text. Rows are filtered to Ukrainian-Cyrillic-alphabetic lemmas carrying a linguistic Universal Dependencies part of speech; punctuation, symbols, digit tokens, foreign or unclassified tokens, and single-character proper nouns are dropped.

Coverage is recomputed here from raw occurrence counts, not read from the source file's own frequency columns, whose normalization is undocumented. Frequency bands are transparent thousand-rank bins and are NOT CEFR levels; validated CEFR alignment is the next planned thread. The corpus is news and reference heavy, so war-era and civic vocabulary rank prominently. That is disclosed, not smoothed away.

Sources
Universal Dependencies (UD) part-of-speech scheme · Universal Dependencies · 2026-07-14
Corpus-Based Vocabulary Profiling for Ukrainian: From Lexical Analysis to CEFR · Synchak, Starko, Burak and Svystun, eLex 2025 · 2026-07-14
The Checklist Method for Testing Vocabulary Size (X_Lex / Y_Lex) · Meara, P. and Buffery, C. · 2026-07-14
dict_uk (Ukrainian hunspell dictionary, via LibreOffice dictionaries) · Andriy Rysin and contributors, brown-uk / dict_uk · 2026-07-14
Related

Part of a standing effort to close the digital-tooling gap for the Ukrainian language.

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