Treebanks
Sentences annotated in Universal Dependencies (CoNLL-U: words, lemmas, tags, morphological features, dependency tree), UD 2.18, EWT conventions.
| File | Sentences | Texts | Annotation |
|---|---|---|---|
mova-school-agreed-en.conllu (new in 0.4) | 42,759 | the lessons of Mova's primary school: 26 courses written for Mova (ours) | see below |
mova-silver-en.conllu | 348 | Tatoeba sentences under CC0 (# source says which), example sentences from Mova's seeds, and 6 sentences from ACL Anthology papers under CC BY 4.0 | parsed by Mova, checked and corrected by a large language model, with UD validation gates |
mova-bronze-en.conllu | 326 | example sentences from Mova's seeds | parsed by Mova only, not checked |
The agreed school
The sentences of the school's lessons (# course, # lesson, # sent_id = school:<course>:<lesson>:<n>), in the
26 primary courses (the middle-school courses are not included).
How made (2026-10-15):
- Mova's own parser (
en) drafts each sentence; a large language model (Claude Haiku 5.5, medium effort) patches the draft under UD validation gates (# annotationsays so). - Three open parsers parse the same tokens: Stanza and Trankit (UD) and spaCy trf.
- Written rules (
tools/treeagreein the repository) change a word only on the evidence of the parsers that agree with each other, and never past the UD gates: 82.6 k of 1.17 M words changed (7.1%), each with its rule in MISC (Agree=R7-rel-agree, the teacher's earlier choice inHaiku=). Spot checks: the strongest rule about 80% right, the others about 90%.
How Mova uses it: the training data of Mova's en model (en.bin, with UD English EWT and ESLSpok) and of
its GPU parser. A held-out part (every 10th lesson) is the school test of Mova's parsing numbers.
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/corpus/open/treebanks/