Mova0.5 pre-release⌕
☰
home / corpora / questions / Biology / Dogs from wolves to best friends: livi… / t5

Test 5 · ★★ · Dogs from wolves to best friends: living with dogs today

In Scooby-Doo, Scooby talks and reads clues. What can real dogs really do?

Mova's choice: option 2 · The right answer: option 4 · wrong ✗ · Who acts: Scooby, real dogs · What happens: talk, read, do · To what, where: Scooby Doo, clues

This is test 5 · ★★ of lesson 292 «Dogs from wolves to best friends: living with dogs today» 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 Scooby-Doo, Scooby talks and reads clues.

casecompoundpunctoblpunctnsubjccconjobjpunctrootInADPScoobyPROPN-PUNCTDooPROPN,PUNCTScoobyPROPNtalksVERBandCCONJreadsVERBcluesNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1IninADP_4 Doocase
2ScoobyScoobyPROPNNumber=Sing4 Doocompound
3--PUNCT_2 Scoobypunct
4DooDooPROPNNumber=Sing7 talksobl
5,,PUNCT_4 Doopunct
6ScoobyScoobyPROPNNumber=Sing7 talksnsubj
7talkstalkVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
8andandCCONJ_9 readscc
9readsreadVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 talksconj
10cluesclueNOUNNumber=Plur9 readsobj
11..PUNCT_7 talkspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1talkpresentScoobyScooby Doovn talk-37.5 «NP V»: agent=Agent
2readpresentScooby not said herecluesvn transfer_mesg-37.1.1-1 «NP V NP»: agent=Agent clue=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.

Sentence 2: What can real dogs really do?

acl:relclamodnsubjadvmodacl:relclpunctrootWhatPRONcanAUXrealADJdogsNOUNreallyADVdoVERB?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Introotroot
2cancanAUXVerbForm=Fin1 Whatacl:relcl
3realrealADJDegree=Pos4 dogsamod
4dogsdogNOUNNumber=Plur6 donsubj
5reallyreallyADV_6 doadvmod
6dodoVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin1 Whatacl:relcl
7??PUNCT_1 Whatpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dopresentreal dogsvn act-114-1 «NP V»: agent=Agent

The options

Option 1

Read books

objrootReadVERBbooksNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ReadreadVERBMood=Imp VerbForm=Finrootroot
2booksbookNOUNNumber=Plur1 Readobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1readimperativeyou not said herebooksvn transfer_mesg-37.1.1-1 «NP V NP»: agent=Agent book=Topic

Option 2 · ← Mova's choice

Solve hard mysteries all on their own, like detectives

amodobjadvmodcasenmod:possoblpunctcaseoblrootSolveVERBhardADJmysteriesNOUNallADVonADPtheirPRONownADJ,PUNCTlikeADPdetectivesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SolvesolveVERBMood=Imp VerbForm=Finrootroot
2hardhardADJDegree=Pos3 mysteriesamod
3mysteriesmysteryNOUNNumber=Plur1 Solveobj
4allallADV_1 Solveadvmod
5ononADP_7 owncase
6theirtheirPRONCase=Gen Number=Plur Person=3 Poss=Yes PronType=Prs7 ownnmod:poss
7ownownADJDegree=Pos1 Solveobl
8,,PUNCT_10 detectivespunct
9likelikeADP_10 detectivescase
10detectivesdetectiveNOUNNumber=Plur1 Solveobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1solveimperativeyou not said herehard mysteriesmysteries's ownlike detectives; all propertyvn discover-84 «NP V NP»: agent=Agent mystery=Topic

Option 3

Talk in full sentences if trained from a puppy

caseamodoblmarkadvclcasedetoblrootTalkVERBinADPfullADJsentencesNOUNifSCONJtrainedVERBfromADPaDETpuppyNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TalktalkVERBMood=Imp VerbForm=Finrootroot
2ininADP_4 sentencescase
3fullfullADJDegree=Pos4 sentencesamod
4sentencessentenceNOUNNumber=Plur1 Talkobl
5ififSCONJ_6 trainedmark
6trainedtrainVERBTense=Past VerbForm=Part Voice=Pass1 Talkadvcl
7fromfromADP_9 puppycase
8aaDETDefinite=Ind PronType=Art9 puppydet
9puppypuppyNOUNNumber=Sing6 trainedobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1talkimperativeyou not said herefull sentencesvn talk-37.5 «NP V»: agent=Agent
2train a condition, not said to happenparticipleyou not said herefrom a puppyvn hire-13.5.3 «NP V NP»: agent=Agent

Option 4 · ✓ the right answer

Read our faces and follow pointing, but not talk

nmod:possobjccconjxcomppunctccadvmodconjrootReadVERBourPRONfacesNOUNandCCONJfollowVERBpointingVERB,PUNCTbutCCONJnotPARTtalkVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ReadreadVERBMood=Imp VerbForm=Finrootroot
2ourourPRONCase=Gen Number=Plur Person=1 Poss=Yes PronType=Prs3 facesnmod:poss
3facesfaceNOUNNumber=Plur1 Readobj
4andandCCONJ_5 followcc
5followfollowVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin1 Readconj
6pointingpointVERBVerbForm=Ger5 followxcomp
7,,PUNCT_10 talkpunct
8butbutCCONJ_10 talkcc
9notnotPARTPolarity=Neg10 talkadvmod
10talktalkVERBMood=Imp VerbForm=Fin1 Readconj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1readimperativeyou not said hereour facesvn transfer_mesg-37.1.1-1 «NP V NP»: agent=Agent face=Topic
2followpresentyou not said herevn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer clause=Stimulus
3pointgerundyou not said herevn wink-40.3.1 «NP V»: agent=Agent
4not talkinfinitiveyou not said herevn talk-37.5 «NP V»: 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/292-dogs-from-wolves-to-best-friends-living-with-dogs-today/t5/