belarusian-verse
Belarusian stress, rhyme, rhythm, agreement and spelling — the checks you need to write or judge a line of Belarusian verse, as a small Python library.
The tables behind it — about 2 million word forms — are published separately as 🤗 YauhenBichel/belarusian-verse and downloaded on first use.
from belarusian_verse import mark_stress, rhyme, suggest_rhymes, check_agreement
mark_stress("Побач ты, і добра мне") # 'По́бач ты, і до́бра мне'
rhyme("вадзе", "ідзе") # ('rich', 1.0)
rhyme("ідзе", "знайдзе") # ('none', 0.0) — зна́йдзе is stressed at the start
check_agreement("тваіх вачам")["errors"] # 1 — no shared case
check_agreement("Яна ідуць")["errors"] # 1 — singular subject, plural verb
suggest_rhymes("вадзе")[:4] # what *would* rhyme, commonest first
Why
Belarusian has good dictionaries and good speech models, and little in between:
- no rhyme dictionary in software — only Minkin's printed one;
- LanguageTool's Belarusian module has ~66 rules and almost no morphology, so it cannot see that «тваіх вачам» is ungrammatical;
- a spell checker accepts every real word, so «ідзе́ / зна́йдзе» passes as a rhyme even though the two words are stressed on different syllables.
Everything needed was already inside the Belarusian Grammar Database: stress marks and full morphological tags for millions of forms. This library is those tables plus the rules that make them answer musical questions.
Install
pip install belarusian-verse # tables download on first use, then cached
pip install "belarusian-verse[spelling]" # adds the spell checker (spylls)
Set BELARUSIAN_VERSE_DATA to a folder holding the tables to work offline. Put BelVoice's
stresses-stat.json there too for homograph stress; without it homographs keep GrammarDB's order.
What it does
| Function | Question it answers |
|---|---|
mark_stress(text) |
Where does the stress fall? (по́бач, not паба́ч) |
rhyme(a, b) |
Do these rhyme, and how well: rich / exact / near / none |
analyse_verse(text, "AABB") |
Rhyme and rhythm scores for a whole verse, line by line |
check_agreement(text) |
Does each adjective match its noun in gender, case and number? |
check_spelling(text, dictionary=…, forms=…) |
Real Belarusian words, correct orthography, syllable counts |
respell(text, "uk"|"ru") |
Rewrite Belarusian so a Ukrainian- or Russian-trained model pronounces it, syllable count unchanged |
suggest_rhymes(word) |
Words that rhyme with it, commonest first — rhyme as help, not just a verdict |
Each is also a command: be-stress, be-poetry, be-grammar, be-spelling, be-respell, be-rhymes.
$ be-poetry verse.txt --rhyme AABB
1 100111001 rhythm 1.00 Белы туман па лесе плыве,
2 101000101 rhythm 0.44 Свежасць ранішняя тут жыве.
rhyme 1-2: rich (1.0)
rhyme 0.95 rhythm 0.78
What it checks that a spell checker cannot
- Agreement. An adjective must match its noun in gender, case and number, on either side of it («цёплы вечар», «свежасць ранішняя»); a verb must match its subject in person and number, or in gender for the past tense («яна спявала», «яны спявалі»).
- The у/ў rule between words.
уbecomesўafter a vowel — «Я іду ў школу» — and staysуafter a consonant. The decision lives in the gap between two words, so no word-by-word checker can see it. - Rhyme and rhythm, from the stressed vowel, not from the final letters.
- Spelling, with the dictionary's gaps marked as gaps. The bundled Hunspell dictionary is
GrammarDB's own 2008-spelling export, which leaves out forms whose only source is Піскуноў 2012
(«слухаўка») and adjectives from place names («смаленская»). Pass
forms=load_index()and a word the dictionary rejects but GrammarDB lists is a warning (NOT_IN_2008_LIST) instead of anUNKNOWN_WORDerror. By defaultformsis not loaded and the old rule holds;extra-words.txtstill accepts its words outright.
How rhyme is judged
A Belarusian rhyme matches from the last stressed vowel to the end of the line, so the stress
table does the real work. маёй and спакой rhyme (iotated vowels are folded: ёй = ой);
ідзе́ and зна́йдзе do not, because the stress sits elsewhere. Final consonants are devoiced
before comparison, as they are when sung.
A scheme shorter than the verse repeats for each stanza: ABCB over eight lines pairs 2–4 and 6–8,
and AABB pairs 1–2, 3–4, 5–6, 7–8.
Homograph stress
GrammarDB lists the stresses of a homograph in no particular order. Where one reading must be
chosen (pick_first=True, and rhyme and rhythm in analyse_verse), the library puts first the most
frequent stress from BelVoice's table of common homographs,
when that stress is one GrammarDB lists. On the
Belarusian Homographs Stress Benchmark
(python -m belarusian_verse.stress_benchmark), share of homograph tokens stressed right:
| Set | GrammarDB order | BelVoice first |
|---|---|---|
| Common Voice sentences | 48.9 % | 82.9 % |
| «Засценак Малінаўка» (literary) | 24.9 % | 68.8 % |
| 10×10 (every stress equally often) | 50.0 % | 50.0 % |
10×10 is built so that frequency alone cannot win; only context could. If BelVoice's table cannot be
downloaded, homographs silently keep GrammarDB's order. load_lexicon(homographs="") asks for that
order explicitly.
Two Belarusian rules this encodes
ёis always stressed, so a word containing it needs no lookup.- A word starting with
ўis the same word as the one starting withу(ўдваіх=удваіх), butўis not a vowel, so every stress index shifts by one. Getting this wrong moves the stress a syllable — it is the kind of bug that only shows up when a singer sings it.
Limits
- Homographs are not disambiguated by context: 20,754 forms carry more than one stress, and
mark_stressleaves them unmarked. Pass your own overrides file, orpick_first=Trueto accept the most frequent reading — wrong about one time in six in ordinary sentences, and about one in three in literary text. - Agreement checking looks at adjacent adjective/pronoun and noun pairs on either side, not at full syntax; it finds the common errors, not every possible one.
- Meaning is not checked at all. A line can pass every check here and still say nothing.
- Preposition government (
даwants the genitive,уthe accusative or locative) is not checked. - Rhyme suggestions are ranked by Wikipedia frequency, which leans encyclopaedic: place names are commoner there than in song.
Data and licence
The code is Apache-2.0. The tables it downloads are CC BY-SA 4.0, derived from the Belarusian Grammar Database by Aleś Bułojčyk and Uładzimir Koščanka — if you redistribute the data or a derivative of it, keep that licence and the attribution: https://huggingface.co/datasets/YauhenBichel/belarusian-verse
Two more sources are downloaded at run time and never shipped with the package:
- BelVoice's
stresses-stat.json(most frequent stress of common homographs), by Aleś Bułojčyk and contributors, LGPL-3.0-or-later, fetched from a pinned commit and checked against its SHA-256. - The Belarusian Homographs Stress Benchmark, used only by
stress_benchmark, created for BelVoice by Aleś Bułojčyk and contributors, CC BY-SA 4.0: https://huggingface.co/datasets/alex73/benchmarks-stress-bel (revision94bb5a8).
Tests
pip install -e ".[spelling]" && python -m unittest discover tests
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