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Test 5 · ★ · Book of Dragons, The Last of the Dragons, part 8: a dragon…

Peak, was the dragon in the boot like the size of a kitten?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: Peak · What happens: be · To what, where: dragon, boot

This is test 5 · ★ of lesson 640 «Book of Dragons, The Last of the Dragons, part 8: a dragon in Effie's eye is followed by a plague of dragons across the land» 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

nsubjpunctcopdetcasedetnmodcasedetnmodcasedetnmodpunctrootPeakNOUN,PUNCTwasAUXtheDETdragonNOUNinADPtheDETbootNOUNlikeADPtheDETsizeNOUNofADPaDETkittenNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1PeakpeakNOUNNumber=Sing5 dragonnsubj
2,,PUNCT_1 Peakpunct
3wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin5 dragoncop
4thetheDETDefinite=Def PronType=Art5 dragondet
5dragondragonNOUNNumber=Singrootroot
6ininADP_8 bootcase
7thetheDETDefinite=Def PronType=Art8 bootdet
8bootbootNOUNNumber=Sing5 dragonnmod
9likelikeADP_11 sizecase
10thetheDETDefinite=Def PronType=Art11 sizedet
11sizesizeNOUNNumber=Sing8 bootnmod
12ofofADP_14 kittencase
13aaDETDefinite=Ind PronType=Art14 kittendet
14kittenkittenNOUNNumber=Sing11 sizenmod
15??PUNCT_5 dragonpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apastPeakthe dragonthe boot like the size of a kittentree 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.

The options

Option 1 · ← Mova's choice · ✓ the right answer

yeah, about that big

discoursepunctcasensubjrootyeahINTJ,PUNCTaboutADPthatPRONbigADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1yeahyeahINTJ_5 bigdiscourse
2,,PUNCT_5 bigpunct
3aboutaboutADP_5 bigcase
4thatthatPRONNumber=Sing PronType=Dem5 bignsubj
5bigbigADJDegree=Posrootroot

The frames reader finds no event or fact in this sentence.

Option 2

nope, more like a rat

discoursepunctcasedetoblrootnopeINTJ,PUNCTmoreADVlikeADPaDETratNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1nopenopeINTJ_3 morediscourse
2,,PUNCT_1 nopepunct
3moremoreADVDegree=Cmprootroot
4likelikeADP_6 ratcase
5aaDETDefinite=Ind PronType=Art6 ratdet
6ratratNOUNNumber=Sing3 moreobl

The frames reader finds no event or fact in this sentence.

Option 3

yeah, about that big, like a kitten

discoursepunctcasensubjpunctcasedetoblrootyeahINTJ,PUNCTaboutADPthatPRONbigADJ,PUNCTlikeADPaDETkittenNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1yeahyeahINTJ_5 bigdiscourse
2,,PUNCT_5 bigpunct
3aboutaboutADP_5 bigcase
4thatthatPRONNumber=Sing PronType=Dem5 bignsubj
5bigbigADJDegree=Posrootroot
6,,PUNCT_9 kittenpunct
7likelikeADP_9 kittencase
8aaDETDefinite=Ind PronType=Art9 kittendet
9kittenkittenNOUNNumber=Sing5 bigobl

The frames reader finds no event or fact in this sentence.

Option 4

nah, it was more like a big dog

discoursepunctnsubjcopadvmodcasedetamodrootnahINTJ,PUNCTitPRONwasAUXmoreADVlikeADPaDETbigADJdogNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1nahnahINTJ_9 dogdiscourse
2,,PUNCT_1 nahpunct
3ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs9 dognsubj
4wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin9 dogcop
5moremoreADVDegree=Cmp9 dogadvmod
6likelikeADP_9 dogcase
7aaDETDefinite=Ind PronType=Art9 dogdet
8bigbigADJDegree=Pos9 dogamod
9dogdogNOUNNumber=Singrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispastitlike a big dogtree rules

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/640-pg23661-part8/t5/