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Test 2 · ★ · Legends of the Old Plantation, Uncle Remus Initiates the L…

bro wait, why was Brer Fox all wrapped up in flannel?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · What happens: be, wrap up · To what, where: Brer Fox, flannel

This is test 2 · ★ of lesson 567 «Legends of the Old Plantation, Uncle Remus Initiates the Little Boy, part 3: Brer Rabbit tricks Brer Fox out of a dinner» 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

compoundpunctadvmodcopcompoundconjadvmodaclcompound:prtcaseoblpunctrootbroNOUNwaitNOUN,PUNCTwhyADVwasAUXBrerPROPNFoxNOUNallADVwrappedVERBupADPinADPflannelNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1brobroNOUNNumber=Sing2 waitcompound
2waitwaitNOUNNumber=Singrootroot
3,,PUNCT_7 Foxpunct
4whywhyADVPronType=Int7 Foxadvmod
5wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin7 Foxcop
6BrerBrerPROPNNumber=Sing7 Foxcompound
7FoxfoxNOUNNumber=Sing2 waitconj
8allallADV_9 wrappedadvmod
9wrappedwrapVERBTense=Past VerbForm=Part Voice=Pass7 Foxacl
10upupADP_9 wrappedcompound:prt
11ininADP_12 flannelcase
12flannelflannelNOUNNumber=Sing9 wrappedobl
13??PUNCT_2 waitpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apastBrer Foxtree rules
2wrap upparticipleBrer Fox not said hereflannelall propertyvn spray-9.7-1 «NP V PP.destination»: agent=Theme in flannel=Destination

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

he had a bad cold

nsubjdetamodobjroothePRONhadVERBaDETbadADJcoldNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs2 hadnsubj
2hadhaveVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3aaDETDefinite=Ind PronType=Art5 colddet
4badbadADJDegree=Pos5 coldamod
5coldcoldNOUNNumber=Sing2 hadobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1havepasthea bad coldvn birth-28.2-1 «NP V NP»: agent=Agent cold=Patient

Option 2

he was cold

nsubjcoproothePRONwasAUXcoldADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs3 coldnsubj
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin3 coldcop
3coldcoldADJDegree=Posrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispasthecold propertytree rules

Option 3 · ✓ the right answer

he was faking being sick

nsubjauxcopxcomproothePRONwasAUXfakingVERBbeingAUXsickADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs3 fakingnsubj
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin3 fakingaux
3fakingfakeVERBTense=Pres VerbForm=Partrootroot
4beingbeAUXTense=Pres VerbForm=Part5 sickcop
5sicksickADJDegree=Pos3 fakingxcomp
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1fakepast · progressivehevn establish-55.5-1 «NP V NP»: agent=Agent
2isgerundhe not said heresick propertytree rules

Option 4

he was sick in bed

nsubjcopcaseoblroothePRONwasAUXsickADJinADPbedNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs3 sicknsubj
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin3 sickcop
3sicksickADJDegree=Posrootroot
4ininADP_5 bedcase
5bedbedNOUNNumber=Sing3 sickobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispasthebedsick propertytree 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/567-pg2306-part3/t2/