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Test 7 · Breeding programmes for rare animals: studbooks and frozen…

Two snow leopards were picked by the computer, but they snarl at each other every day. What should the keepers do?

Mova's choice: option 2 · The right answer: option 4 · wrong ✗ · Who acts: computer, leopards, keepers · What happens: pick, snarl, do · To what, where: Two snow leopards

This is test 7 of lesson 113 «Breeding programmes for rare animals: studbooks and frozen zoos» 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: Two snow leopards were picked by the computer, but they snarl at each other every day.

nummodcompoundnsubj:passaux:passcasedetoblpunctccnsubjconjcaseoblfixeddetobl:unmarkedpunctrootTwoNUMsnowNOUNleopardsNOUNwereAUXpickedVERBbyADPtheDETcomputerNOUN,PUNCTbutCCONJtheyPRONsnarlVERBatADPeachDETotherADJeveryDETdayNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TwotwoNUMNumForm=Word NumType=Card3 leopardsnummod
2snowsnowNOUNNumber=Sing3 leopardscompound
3leopardsleopardNOUNNumber=Plur5 pickednsubj:pass
4werebeAUXMood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin5 pickedaux:pass
5pickedpickVERBTense=Past VerbForm=Part Voice=Passrootroot
6bybyADP_8 computercase
7thetheDETDefinite=Def PronType=Art8 computerdet
8computercomputerNOUNNumber=Sing5 pickedobl
9,,PUNCT_12 snarlpunct
10butbutCCONJ_12 snarlcc
11theytheyPRONCase=Nom Number=Plur Person=3 PronType=Prs12 snarlnsubj
12snarlsnarlVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin5 pickedconj
13atatADP_14 eachcase
14eacheachDETExtPos=PRON PronType=Rcp12 snarlobl
15otherotherADJDegree=Pos14 eachfixed
16everyeveryDETPronType=Tot17 daydet
17daydayNOUNNumber=Sing12 snarlobl:unmarked
18..PUNCT_5 pickedpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1pickpast · passivethe computerTwo snow leopardsvn chew-39.2 «NP V NP»: agent=Agent subject=Patient
2snarlpresentleopards = leoparddayat eachvn animal_sounds-38 «NP V PP.stimulus»: agent=Agent at each=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.

Sentence 2: What should the keepers do?

auxdetnsubjacl:relclpunctrootWhatPRONshouldAUXtheDETkeepersNOUNdoVERB?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Introotroot
2shouldshouldAUXVerbForm=Fin5 doaux
3thetheDETDefinite=Def PronType=Art4 keepersdet
4keeperskeeperNOUNNumber=Plur5 donsubj
5dodoVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin1 Whatacl:relcl
6??PUNCT_1 Whatpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1doshouldthe keepersvn act-114-1 «NP V»: agent=Agent

The options

Option 1

Stop breeding snow leopards forever

xcompcompoundobjadvmodrootStopVERBbreedingVERBsnowNOUNleopardsNOUNforeverADV
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1StopstopVERBMood=Imp VerbForm=Finrootroot
2breedingbreedVERBVerbForm=Ger1 Stopxcomp
3snowsnowNOUNNumber=Sing4 leopardscompound
4leopardsleopardNOUNNumber=Plur2 breedingobj
5foreverforeverADV_2 breedingadvmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1stopimperativeyou not said herevn stop-55.4-1-1 «NP V S_ING»: agent=Affector clause=Eventuality
2breedgerundyou not said heresnow leopardsforever propertytree rules

Option 2 · ← Mova's choice

Paint them to look like other leopards

objmarkadvclcaseamodoblrootPaintVERBthemPRONtoPARTlookVERBlikeADPotherADJleopardsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1PaintpaintVERBMood=Imp VerbForm=Finrootroot
2themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs1 Paintobj
3totoPART_4 lookmark
4looklookVERBVerbForm=Inf1 Paintadvcl
5likelikeADP_7 leopardscase
6otherotherADJDegree=Pos7 leopardsamod
7leopardsleopardNOUNNumber=Plur4 lookobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1paintimperativeyou not said herethem = theyvn image_impression-25.1 «NP V NP.destination»: agent=Agent they=Destination
2lookto-infinitiveyou not said herelike other leopardsvn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus

Option 3

Keep them together until they like each other

objadvmodmarknsubjadvclobjfixedrootKeepVERBthemPRONtogetherADVuntilSCONJtheyPRONlikeVERBeachDETotherADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1KeepkeepVERBMood=Imp VerbForm=Finrootroot
2themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs1 Keepobj
3togethertogetherADV_1 Keepadvmod
4untiluntilSCONJ_6 likemark
5theytheyPRONCase=Nom Number=Plur Person=3 PronType=Prs6 likensubj
6likelikeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin1 Keepadvcl
7eacheachDETExtPos=PRON PronType=Rcp6 likeobj
8otherotherADJDegree=Pos7 eachfixed
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1keepimperativeyou not said herethem = theytogether propertyvn keep-15.2 «NP V NP»: agent=Agent they=Theme
2likepresenttheyeachvn want-32.1-1-1 «NP V NP ADV»: agent=Pivot each=Theme

Option 4 · ✓ the right answer

Try another pair from the studbook

detobjcasedetoblrootTryVERBanotherDETpairNOUNfromADPtheDETstudbookNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TrytryVERBMood=Imp VerbForm=Finrootroot
2anotheranotherDETPronType=Ind3 pairdet
3pairpairNOUNNumber=Sing1 Tryobj
4fromfromADP_6 studbookcase
5thetheDETDefinite=Def PronType=Art6 studbookdet
6studbookstudbookNOUNNumber=Sing1 Tryobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1tryimperativeyou not said hereanother pairthe studbookvn try-61.1 «NP V NP»: agent=Agent pair=Eventuality

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/113-breeding-programmes-for-rare-animals/t7/