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Test 9 · ★★★ · Alice in Wonderland, chapter XI, part 2: Who Stole the Tar…

Ryan from Bristol: «the cook gave gurt long evidence about tarts.» (gurt = great, big) Put it right.

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Ryan, gurt · What happens: give, gurt, put · To what, where: gurt long evidence, evidence

This is test 9 · ★★★ of lesson 22 «Alice in Wonderland, chapter XI, part 2: Who Stole the Tarts? (the Hatter, the cook and a surprise witness)» 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

Sentence 1: Ryan from Bristol: «the cook gave gurt long evidence about tarts.»

nsubjcasenmodpunctpunctdetnsubjamodamodobjcasenmodpunctpunctrootRyanPROPNfromADPBristolPROPN:PUNCT«PUNCTtheDETcookNOUNgaveVERBgurtVERBlongADJevidenceNOUNaboutADPtartsNOUN.PUNCT»PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1RyanRyanPROPNNumber=Sing8 gavensubj
2fromfromADP_3 Bristolcase
3BristolBristolPROPNNumber=Sing1 Ryannmod
4::PUNCT_8 gavepunct
5««PUNCT_8 gavepunct
6thetheDETDefinite=Def PronType=Art7 cookdet
7cookcookNOUNNumber=Sing8 gavensubj
8gavegiveVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
9gurtgurtVERBTense=Past VerbForm=Part Voice=Pass11 evidenceamod
10longlongADJDegree=Pos11 evidenceamod
11evidenceevidenceNOUNNumber=Sing8 gaveobj
12aboutaboutADP_13 tartscase
13tartstartNOUNNumber=Plur11 evidencenmod
14..PUNCT_8 gavepunct
15»»PUNCT_8 gavepunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1give in a quotepastRyan from Bristolgurt long evidenceabout tartsvn give-13.1-1 «NP V NP»: agent=Agent evidence=Theme
2gurt in a quoteparticipletree rules

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.

Sentence 2: (gurt = great, big) Put it right.

punctnsubjpunctamodpunctconjpunctobjadvmodpunctroot(PUNCTgurtNOUN=SYMgreatADJ,PUNCTbigADJ)PUNCTPutVERBitPRONrightADV.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1((PUNCT_2 gurtpunct
2gurtgurtNOUNNumber=Sing8 Putnsubj
3==SYM_4 greatpunct
4greatgreatADJDegree=Pos2 gurtamod
5,,PUNCT_6 bigpunct
6bigbigADJDegree=Pos4 greatconj
7))PUNCT_2 gurtpunct
8PutputVERBVerbForm=Infrootroot
9ititPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs8 Putobj
10rightrightADV_8 Putadvmod
11..PUNCT_8 Putpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1putinfinitivegurtevidenceright propertyvn invest-13.5.4-1 «NP V PP»: agent=Agent it=Goal

The options

Option 1 · ← Mova's choice

She said «Pepper», then «Shan't»

nsubjpunctobjpunctpunctadvmodpunctparataxisadvmodpunctrootShePRONsaidVERB«PUNCTPepperNOUN»PUNCT,PUNCTthenADV«PUNCTShaPROPNn'tPART»PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs2 saidnsubj
2saidsayVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3««PUNCT_4 Pepperpunct
4PepperpepperNOUNNumber=Sing2 saidobj
5»»PUNCT_4 Pepperpunct
6,,PUNCT_9 Shapunct
7thenthenADVPronType=Dem9 Shaadvmod
8««PUNCT_9 Shapunct
9ShaShaPROPNNumber=Sing2 saidparataxis
10n'tnotPARTPolarity=Neg9 Shaadvmod
11»»PUNCT_2 saidpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertpastShePeppertree rules

Option 2

She said «Shan't»

nsubjpunctnsubjadvmodpunctrootShePRONsaidVERB«PUNCTShaPROPNn'tPART»PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs2 saidnsubj
2saidsayVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3««PUNCT_4 Shapunct
4ShaShaPROPNNumber=Sing2 saidnsubj
5n'tnotPARTPolarity=Neg2 saidadvmod
6»»PUNCT_2 saidpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1not say speech: assertpastShevn say-37.7-1-1 «NP V that S»: agent=Agent

Option 3 · ✓ the right answer

She said «Shan't», then only «Pepper, mostly»

nsubjpunctparataxisadvmodpunctpunctadvmodadvmodpunctccomppunctadvmodpunctrootShePRONsaidVERB«PUNCTShaPROPNn'tPART»PUNCT,PUNCTthenADVonlyADV«PUNCTPepperNOUN,PUNCTmostlyADV»PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs2 saidnsubj
2saidsayVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3««PUNCT_4 Shapunct
4ShaShaPROPNNumber=Sing2 saidparataxis
5n'tnotPARTPolarity=Neg4 Shaadvmod
6»»PUNCT_4 Shapunct
7,,PUNCT_11 Pepperpunct
8thenthenADVPronType=Dem11 Pepperadvmod
9onlyonlyADV_11 Pepperadvmod
10««PUNCT_11 Pepperpunct
11PepperpepperNOUNNumber=Sing2 saidccomp
12,,PUNCT_13 mostlypunct
13mostlymostlyADV_11 Pepperadvmod
14»»PUNCT_11 Pepperpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertpastShevn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic

Option 4

She said «Treacle», then «Pepper»

nsubjpunctobjpunctpunctadvmodpunctccomppunctrootShePRONsaidVERB«PUNCTTreacleNOUN»PUNCT,PUNCTthenADV«PUNCTPepperNOUN»PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs2 saidnsubj
2saidsayVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3««PUNCT_4 Treaclepunct
4TreacletreacleNOUNNumber=Sing2 saidobj
5»»PUNCT_4 Treaclepunct
6,,PUNCT_9 Pepperpunct
7thenthenADVPronType=Dem9 Pepperadvmod
8««PUNCT_9 Pepperpunct
9PepperpepperNOUNNumber=Sing2 saidccomp
10»»PUNCT_9 Pepperpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertpastSheTreaclevn say-37.7-1-1 «NP V NP.topic»: agent=Agent treacle=Topic

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.

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