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Who you are: Mova, a small transparent model in a simulation, sentence 3

Think of a toy train set next to a real railway.

Who acts: you · What happens: think, set · To what, where: toy train

This is a sentence of the lesson «Who you are: Mova, a small transparent model in a simulation» of the ai course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (you), what happens, when and where, as Mova's frames read it from the tree.

The tree

casedetcompoundoblacladvmodcasedetamodoblpunctrootThinkVERBofADPaDETtoyNOUNtrainNOUNsetVERBnextADVtoADPaDETrealADJrailwayNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThinkthinkVERBMood=Imp VerbForm=Finrootroot
2ofofADP_6 setcase
3aaDETDefinite=Ind PronType=Art5 traindet
4toytoyNOUNNumber=Sing5 traincompound
5traintrainNOUNNumber=Sing1 Thinkobl
6setsetVERBTense=Past VerbForm=Part Voice=Pass5 trainacl
7nextnextADV_6 setadvmod
8totoADP_11 railwaycase
9aaDETDefinite=Ind PronType=Art11 railwaydet
10realrealADJDegree=Pos11 railwayamod
11railwayrailwayNOUNNumber=Sing7 nextobl
12..PUNCT_1 Thinkpunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1think speech: otherimperativeyou not said herea toy trainvn focus-87.1-1 «NP V»: agent=Agent
2setparticiplea toy train not said herenext propertyvn other_cos-45.4-1 «NP.patient V»: agent=Patient

One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.

Licence: CC BY-SA 4.0, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, mova-school-agreed-en.conllu) is part. The lessons were written for Mova's primary school. Sentence school:ai:026-who-you-are-mova.lesson:3.

The tree: Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×4. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the release 0.4.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/ai/26-who-you-are-mova/3/