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Test 11 · ★ · Perrault's Tales, Donkey-skin, part 17: the Princess, hidd…

What did she smear on her face to look rough, like?

Mova's choice: option 3 · The right answer: option 4 · wrong ✗ · Who acts: she · What happens: smear, look · To what, where: face

This is test 11 · ★ of lesson 1092 «Perrault's Tales, Donkey-skin, part 17: the Princess, hidden in her donkey skin, works at a farm and the Prince spies on her» 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

objauxnsubjcasenmod:possoblmarkadvclxcomppunctoblpunctrootWhatPRONdidAUXshePRONsmearVERBonADPherPRONfaceNOUNtoPARTlookVERBroughADJ,PUNCTlikeADP?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int4 smearobj
2diddoAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin4 smearaux
3sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs4 smearnsubj
4smearsmearVERBVerbForm=Infrootroot
5ononADP_7 facecase
6herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs7 facenmod:poss
7facefaceNOUNNumber=Sing4 smearobl
8totoPART_9 lookmark
9looklookVERBVerbForm=Inf4 smearadvcl
10roughroughADJDegree=Pos9 lookxcomp
11,,PUNCT_12 likepunct
12likelikeADP_9 lookobl
13??PUNCT_4 smearpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1smearpast · do-supportsheher facevn spray-9.7-1 «NP V NP PP.destination»: agent=Agent what=Theme on face=Destination
2lookto-infinitiveshe not said hererough propertyvn stimulus_subject-30.4 «NP V ADJ»: agent=Stimulus

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

dark mud scooped from the river bank near the mill

amodaclcasedetcompoundoblcasedetoblrootdarkADJmudNOUNscoopedVERBfromADPtheDETriverNOUNbankNOUNnearADPtheDETmillNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1darkdarkADJDegree=Pos2 mudamod
2mudmudNOUNNumber=Singrootroot
3scoopedscoopVERBTense=Past VerbForm=Part Voice=Pass2 mudacl
4fromfromADP_7 bankcase
5thetheDETDefinite=Def PronType=Art7 bankdet
6riverriverNOUNNumber=Sing7 bankcompound
7bankbankNOUNNumber=Sing3 scoopedobl
8nearnearADP_10 millcase
9thetheDETDefinite=Def PronType=Art10 milldet
10millmillNOUNNumber=Sing3 scoopedobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1scoopparticipledark mud not said herethe river banknear the millvn funnel-9.3 «NP V NP PP.trajectory»: agent=Agent from bank=Trajectory

Option 2

paint from the door

casedetnmodrootpaintNOUNfromADPtheDETdoorNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1paintpaintNOUNNumber=Singrootroot
2fromfromADP_4 doorcase
3thetheDETDefinite=Def PronType=Art4 doordet
4doordoorNOUNNumber=Sing1 paintnmod

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

Option 3 · ← Mova's choice

dust from the cellar

casedetnmodrootdustNOUNfromADPtheDETcellarNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1dustdustNOUNNumber=Singrootroot
2fromfromADP_4 cellarcase
3thetheDETDefinite=Def PronType=Art4 cellardet
4cellarcellarNOUNNumber=Sing1 dustnmod

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

Option 4 · ✓ the right answer

soot from the chimney

casedetnmodrootsootNOUNfromADPtheDETchimneyNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1sootsootNOUNNumber=Singrootroot
2fromfromADP_4 chimneycase
3thetheDETDefinite=Def PronType=Art4 chimneydet
4chimneychimneyNOUNNumber=Sing1 sootnmod

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

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/1092-pg29021-part17/t11/