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Test 11 · ★ · Fairy Tales of Many Lands, The Clever Youth and the Herdsm…

Real talk, what did Peter do when he met the old man?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: Peter · What happens: do, meet · To what, where: Real talk, old man

This is test 11 · ★ of lesson 704 «Fairy Tales of Many Lands, The Clever Youth and the Herdsman: he loses the king's golden ox, dodges the scythes, and wins a bride» of the books course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: the test at school.

The question

amodpunctobjauxnsubjacl:relcladvmodnsubjadvcldetamodobjpunctrootRealADJtalkNOUN,PUNCTwhatPRONdidAUXPeterPROPNdoVERBwhenADVhePRONmetVERBtheDEToldADJmanNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1RealrealADJDegree=Pos2 talkamod
2talktalkNOUNNumber=Singrootroot
3,,PUNCT_7 dopunct
4whatwhatPRONPronType=Int7 doobj
5diddoAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin7 doaux
6PeterPeterPROPNNumber=Sing7 donsubj
7dodoVERBVerbForm=Inf2 talkacl:relcl
8whenwhenADVPronType=Int10 metadvmod
9hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs10 metnsubj
10metmeetVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin7 doadvcl
11thetheDETDefinite=Def PronType=Art13 mandet
12oldoldADJDegree=Pos13 manamod
13manmanNOUNNumber=Sing10 metobj
14??PUNCT_2 talkpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dopast · do-supportPeterReal talkvn act-114-1 «NP V NP»: agent=Agent what=Eventuality
2meetpastPeterthe old manvn meet-36.3-1 «NP V NP»: agent=Agent man=Co-Agent

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.

The options

Option 1

he bowed

nsubjroothePRONbowedVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs2 bowednsubj
2bowedbowVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1bowpasthevn acquiesce-95.1-1 «NP V»: agent=Agent

Option 2 · ← Mova's choice · ✓ the right answer

took off his hat

compound:prtnmod:possobjroottookVERBoffADPhisPRONhatNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1tooktakeVERBMood=Ind Number=Sing Person=1 Tense=Past VerbForm=Finrootroot
2offoffADP_1 tookcompound:prt
3hishisPRONCase=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs4 hatnmod:poss
4hathatNOUNNumber=Sing1 tookobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1take offpasthis hatvn remove-10.1 «NP V NP»: agent=Agent hat=Theme

Option 3

he ran off

nsubjcompound:prtroothePRONranVERBoffADP
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs2 rannsubj
2ranrunVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3offoffADP_2 rancompound:prt
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1run offpasthevn run-51.3.2-2-1 «NP V»: agent=Theme

Option 4

he waved to him

nsubjcaseoblroothePRONwavedVERBtoADPhimPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs2 wavednsubj
2wavedwaveVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3totoADP_4 himcase
4himhePRONCase=Acc Gender=Masc Number=Sing Person=3 PronType=Prs2 wavedobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1wavepasthehim = hevn wink-40.3.1 «NP V PP.recipient»: agent=Agent to he=Recipient

Text: the tests of Mova's primary school, written for Mova (world/data/school/), as the course runner gave them to the student. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each text read on its own. Elamur Cosmic License.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/books/704-pg2435-part44/t11/