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Test 1 · ★ · Wolves in Yellowstone, beavers in Britain and bringing nat…

In Little Red Riding Hood the wolf eats grandma. What is true about real wolves?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: wolf · What happens: eat, be · To what, where: grandma, Little Red Riding Hood

This is test 1 · ★ of lesson 283 «Wolves in Yellowstone, beavers in Britain and bringing nature back» of the biology 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: In Little Red Riding Hood the wolf eats grandma.

caseamodamodcompoundobldetnsubjobjpunctrootInADPLittleADJRedADJRidingPROPNHoodPROPNtheDETwolfNOUNeatsVERBgrandmaNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1IninADP_5 Hoodcase
2LittleLittleADJDegree=Pos5 Hoodamod
3RedRedADJDegree=Pos5 Hoodamod
4RidingRidingPROPNNumber=Sing5 Hoodcompound
5HoodHoodPROPNNumber=Sing8 eatsobl
6thetheDETDefinite=Def PronType=Art7 wolfdet
7wolfwolfNOUNNumber=Sing8 eatsnsubj
8eatseatVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
9grandmagrandmaNOUNNumber=Sing8 eatsobj
10..PUNCT_8 eatspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1eatpresentthe wolfgrandmaLittle Red Riding Hoodvn eat-39.1-1 «NP V NP»: agent=Agent grandma=Patient

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: What is true about real wolves?

nsubjcopcaseamodoblpunctrootWhatPRONisAUXtrueADJaboutADPrealADJwolvesNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int3 truensubj
2isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin3 truecop
3truetrueADJDegree=Posrootroot
4aboutaboutADP_6 wolvescase
5realrealADJDegree=Pos6 wolvesamod
6wolveswolfNOUNNumber=Plur3 trueobl
7??PUNCT_3 truepunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispresentabout real wolves; true propertytree rules

The options

Option 1

Wolves often dress up as people

nsubjadvmodcompound:prtcaseoblrootWolvesNOUNoftenADVdressVERBupADPasADPpeopleNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WolveswolfNOUNNumber=Plur3 dressnsubj
2oftenoftenADV_3 dressadvmod
3dressdressVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
4upupADP_3 dresscompound:prt
5asasADP_6 peoplecase
6peoplepeopleNOUNNumber=Plur3 dressobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dress uppresentWolvesas people; often propertyvn dress-41.1.1-1-1 «NP V»: agent=Agent

Option 2 · ← Mova's choice · ✓ the right answer

Wild wolves are shy and attacks on people are very rare

amodnsubjcopccnsubjcasenmodcopadvmodconjrootWildADJwolvesNOUNareAUXshyADJandCCONJattacksNOUNonADPpeopleNOUNareAUXveryADVrareADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WildwildADJDegree=Pos2 wolvesamod
2wolveswolfNOUNNumber=Plur4 shynsubj
3arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin4 shycop
4shyshyADJDegree=Posrootroot
5andandCCONJ_11 rarecc
6attacksattackNOUNNumber=Plur11 rarensubj
7ononADP_8 peoplecase
8peoplepeopleNOUNNumber=Plur6 attacksnmod
9arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin11 rarecop
10veryveryADV_11 rareadvmod
11rarerareADJDegree=Pos4 shyconj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispresentWild wolvesshy propertytree rules
2ispresentattacks on peoplerare propertytree rules

Option 3

Wolves eat people whole

nsubjobjxcomprootWolvesNOUNeatVERBpeopleNOUNwholeADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WolveswolfNOUNNumber=Plur2 eatnsubj
2eateatVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
3peoplepeopleNOUNNumber=Plur2 eatobj
4wholewholeADJDegree=Pos2 eatxcomp
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1eatpresentWolvespeoplewhole propertyvn eat-39.1-1 «NP V NP»: agent=Agent people=Patient

Option 4

Wolves hunt grandmothers in forests, just as the old stories say

nsubjobjcaseoblpunctadvmodmarkdetamodnsubjparataxisrootWolvesNOUNhuntVERBgrandmothersNOUNinADPforestsNOUN,PUNCTjustADVasSCONJtheDEToldADJstoriesNOUNsayVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WolveswolfNOUNNumber=Plur2 huntnsubj
2hunthuntVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
3grandmothersgrandmotherNOUNNumber=Plur2 huntobj
4ininADP_5 forestscase
5forestsforestNOUNNumber=Plur2 huntobl
6,,PUNCT_12 saypunct
7justjustADV_12 sayadvmod
8asasSCONJ_12 saymark
9thetheDETDefinite=Def PronType=Art11 storiesdet
10oldoldADJDegree=Pos11 storiesamod
11storiesstoryNOUNNumber=Plur12 saynsubj
12saysayVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin2 huntparataxis
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1huntpresentWolvesgrandmothersforestsvn hunt-35.1 «NP V NP PP.location»: agent=Agent grandmother=Theme in forest=Location
2say speech: assertpresentthe old storiesvn say-37.7-1-1 «NP V that S»: agent=Agent

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/biology/283-wolves-in-yellowstone-beavers-in-britain-and-bringing-nature-back/t1/