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Test 2 · ★ · Andersen's Tales, Anne Lisbeth, part 5: Anne Lisbeth sees…

Did she find some old hat thing or a actual dead body?

Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: she · What happens: find · To what, where: old hat thing

This is test 2 · ★ of lesson 794 «Andersen's Tales, Anne Lisbeth, part 5: Anne Lisbeth sees a ghostly child and digs a grave by the sea before dawn» 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

auxnsubjdetamodcompoundobjccdetamodamodconjpunctrootDidAUXshePRONfindVERBsomeDEToldADJhatNOUNthingNOUNorCCONJaDETactualADJdeadADJbodyNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1DiddoAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin3 findaux
2sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs3 findnsubj
3findfindVERBVerbForm=Infrootroot
4somesomeDETPronType=Ind7 thingdet
5oldoldADJDegree=Pos7 thingamod
6hathatNOUNNumber=Sing7 thingcompound
7thingthingNOUNNumber=Sing3 findobj
8ororCCONJ_12 bodycc
9aaDETDefinite=Ind PronType=Art12 bodydet
10actualactualADJDegree=Pos12 bodyamod
11deaddeadADJDegree=Pos12 bodyamod
12bodybodyNOUNNumber=Sing7 thingconj
13??PUNCT_3 findpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1findpast · do-supportshesome old hat thing or a actual dead bodyvn discover-84 «NP V NP»: agent=Agent thing=Topic

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

A boat, then a pile of weed that looked like a dead dog on the rocks

The tree, 16 words
detnsubjpunctadvmoddetnsubjcasenmodnsubjcasedetamodoblcasedetoblrootADETboatNOUN,PUNCTthenADVaDETpileNOUNofADPweedNOUNthatPRONlookedVERBlikeADPaDETdeadADJdogNOUNonADPtheDETrocksNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 boatdet
2boatboatNOUNNumber=Sing10 lookednsubj
3,,PUNCT_6 pilepunct
4thenthenADVPronType=Dem6 pileadvmod
5aaDETDefinite=Ind PronType=Art6 piledet
6pilepileNOUNNumber=Sing10 lookednsubj
7ofofADP_8 weedcase
8weedweedNOUNNumber=Sing6 pilenmod
9thatthatPRONPronType=Rel10 lookednsubj
10lookedlookVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
11likelikeADP_14 dogcase
12aaDETDefinite=Ind PronType=Art14 dogdet
13deaddeadADJDegree=Pos14 dogamod
14dogdogNOUNNumber=Sing10 lookedobl
15ononADP_17 rockscase
16thetheDETDefinite=Def PronType=Art17 rocksdet
17rocksrockNOUNNumber=Plur10 lookedobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1lookpasta boatlike a dead dog; on the rocksvn peer-30.3 «NP V PP.theme»: agent=Agent on rock=Theme

Option 2

An old man's hat first, then a big heap of grass and seaweed that looked exactly like a real drowned corpse lying on the sand

The tree, 26 words
detamodnmod:posscaseadvmodpunctadvmoddetamodconjcasenmodccconjnsubjacl:relcladvmodcasedetamodamodobjaclcasedetoblrootAnDEToldADJmanNOUN'sPARThatNOUNfirstADV,PUNCTthenADVaDETbigADJheapNOUNofADPgrassNOUNandCCONJseaweedNOUNthatPRONlookedVERBexactlyADVlikeADPaDETrealADJdrownedVERBcorpseNOUNlyingVERBonADPtheDETsandNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AnaDETDefinite=Ind PronType=Art3 mandet
2oldoldADJDegree=Pos3 manamod
3manmanNOUNNumber=Sing5 hatnmod:poss
4's'sPART_3 mancase
5hathatNOUNNumber=Singrootroot
6firstfirstADVNumForm=Word NumType=Ord5 hatadvmod
7,,PUNCT_11 heappunct
8thenthenADVPronType=Dem11 heapadvmod
9aaDETDefinite=Ind PronType=Art11 heapdet
10bigbigADJDegree=Pos11 heapamod
11heapheapNOUNNumber=Sing5 hatconj
12ofofADP_13 grasscase
13grassgrassNOUNNumber=Sing11 heapnmod
14andandCCONJ_15 seaweedcc
15seaweedseaweedNOUNNumber=Sing13 grassconj
16thatthatPRONPronType=Rel17 lookednsubj
17lookedlookVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin13 grassacl:relcl
18exactlyexactlyADV_23 corpseadvmod
19likelikeADP_23 corpsecase
20aaDETDefinite=Ind PronType=Art23 corpsedet
21realrealADJDegree=Pos23 corpseamod
22drowneddrownVERBTense=Past VerbForm=Part Voice=Pass23 corpseamod
23corpsecorpseNOUNNumber=Sing17 lookedobj
24lyinglieVERBVerbForm=Ger23 corpseacl
25ononADP_27 sandcase
26thetheDETDefinite=Def PronType=Art27 sanddet
27sandsandNOUNNumber=Sing24 lyingobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1lookpastgrass and seaweeda real drowned corpsevn seem-109-1-1 «NP V NP»: agent=Theme corpse=Attribute
2drownparticiplevn poison-42.2 «NP V NP»: agent=Agent
3liegerunda real drowned corpse not said herethe sandvn assuming_position-50 «NP V PP.location»: agent=Agent on sand=Location

Option 3

Some old man's hat at first, then a huge tangled mess of seaweed and grass that scared her half to death with its shape like a body

The tree, 28 words
detamodnmod:posscasecasenmodpunctadvmoddetamodamodconjcasenmodccconjnsubjparataxisnmod:possobjcaseoblcasenmod:possoblcasedetoblrootSomeDEToldADJmanNOUN'sPARThatNOUNatADPfirstADV,PUNCTthenADVaDEThugeADJtangledADJmessNOUNofADPseaweedNOUNandCCONJgrassNOUNthatPRONscaredVERBherPRONhalfNOUNtoADPdeathNOUNwithADPitsPRONshapeNOUNlikeADPaDETbodyNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SomesomeDETPronType=Ind3 mandet
2oldoldADJDegree=Pos3 manamod
3manmanNOUNNumber=Sing5 hatnmod:poss
4's'sPART_3 mancase
5hathatNOUNNumber=Singrootroot
6atatADP_7 firstcase
7firstfirstADVNumForm=Word NumType=Ord5 hatnmod
8,,PUNCT_13 messpunct
9thenthenADVPronType=Dem13 messadvmod
10aaDETDefinite=Ind PronType=Art13 messdet
11hugehugeADJDegree=Pos13 messamod
12tangledtangledADJDegree=Pos13 messamod
13messmessNOUNNumber=Sing5 hatconj
14ofofADP_15 seaweedcase
15seaweedseaweedNOUNNumber=Sing13 messnmod
16andandCCONJ_17 grasscc
17grassgrassNOUNNumber=Sing15 seaweedconj
18thatthatPRONPronType=Rel19 scarednsubj
19scaredscareVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin13 messparataxis
20herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs21 halfnmod:poss
21halfhalfNOUNNumber=Sing NumForm=Word NumType=Frac19 scaredobj
22totoADP_23 deathcase
23deathdeathNOUNNumber=Sing19 scaredobl
24withwithADP_26 shapecase
25itsitsPRONCase=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs26 shapenmod:poss
26shapeshapeNOUNNumber=Sing19 scaredobl
27likelikeADP_29 bodycase
28aaDETDefinite=Ind PronType=Art29 bodydet
29bodybodyNOUNNumber=Sing19 scaredobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1scarepastthather halfto death; with death's shape; like a bodyvn amuse-31.1 «NP V NP»: agent=Stimulus half=Experiencer
2messseaweed and grassnom mess «state transitive»: of=patient

Option 4 · ✓ the right answer

An old man's hat, then grass and seaweed that looked like a corpse

The tree, 14 words
detamodnmod:posscasepunctadvmodapposccconjnsubjacl:relclcasedetoblrootAnDEToldADJmanNOUN'sPARThatNOUN,PUNCTthenADVgrassNOUNandCCONJseaweedNOUNthatPRONlookedVERBlikeADPaDETcorpseNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AnaDETDefinite=Ind PronType=Art3 mandet
2oldoldADJDegree=Pos3 manamod
3manmanNOUNNumber=Sing5 hatnmod:poss
4's'sPART_3 mancase
5hathatNOUNNumber=Singrootroot
6,,PUNCT_8 grasspunct
7thenthenADVPronType=Dem8 grassadvmod
8grassgrassNOUNNumber=Sing5 hatappos
9andandCCONJ_10 seaweedcc
10seaweedseaweedNOUNNumber=Sing8 grassconj
11thatthatPRONPronType=Rel12 lookednsubj
12lookedlookVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin8 grassacl:relcl
13likelikeADP_15 corpsecase
14aaDETDefinite=Ind PronType=Art15 corpsedet
15corpsecorpseNOUNNumber=Sing12 lookedobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1lookpastgrass and seaweedlike a corpsevn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus

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/794-pg27200-part5/t2/