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Test 8 · Cars, doctors, scientists and translators

Which is the best example of AI making life fairer?

Mova's choice: option 3 · The right answer: option 3 · right ✓ · What happens: be, make · To what, where: best example, life

This is test 8 of lesson 18 «Cars, doctors, scientists and translators» of the AI 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

nsubjcopdetamodcasenmodadvclobjxcomppunctrootWhichPRONisAUXtheDETbestADJexampleNOUNofADPAINOUNmakingVERBlifeNOUNfairerADJ?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhichwhichPRONPronType=Rel5 examplensubj
2isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin5 examplecop
3thetheDETDefinite=Def PronType=Art5 exampledet
4bestgoodADJDegree=Sup5 exampleamod
5exampleexampleNOUNNumber=Singrootroot
6ofofADP_7 AIcase
7AIaiNOUNNumber=Sing5 examplenmod
8makingmakeVERBTense=Pres VerbForm=Part5 exampleadvcl
9lifelifeNOUNNumber=Sing8 makingobj
10fairerfairADJDegree=Cmp8 makingxcomp
11??PUNCT_5 examplepunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresentthe best exampleof AItree rules
2makegerundlifefair propertyvn build-26.1-1 «NP.asset V NP»: agent=Asset life=Product

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

A video site showing more of the same videos

detcompoundaclobjcasedetamodoblrootADETvideoNOUNsiteNOUNshowingVERBmoreADJofADPtheDETsameADJvideosNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 sitedet
2videovideoNOUNNumber=Sing3 sitecompound
3sitesiteNOUNNumber=Singrootroot
4showingshowVERBVerbForm=Ger3 siteacl
5moremoreADJDegree=Cmp4 showingobj
6ofofADP_9 videoscase
7thetheDETDefinite=Def PronType=Art9 videosdet
8samesameADJDegree=Pos9 videosamod
9videosvideoNOUNNumber=Plur5 moreobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1showgerunda video site not said heremorevn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent more=Recipient

Option 2

A game giving surprise rewards just when you want to stop playing

detnsubjaclcompoundobjadvmodadvmodnsubjmarkxcompxcomprootADETgameNOUNgivingVERBsurpriseNOUNrewardsNOUNjustADVwhenADVyouPRONwantVERBtoPARTstopVERBplayingVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 gamedet
2gamegameNOUNNumber=Sing9 wantnsubj
3givinggiveVERBVerbForm=Ger2 gameacl
4surprisesurpriseNOUNNumber=Sing5 rewardscompound
5rewardsrewardNOUNNumber=Plur3 givingobj
6justjustADV_9 wantadvmod
7whenwhenADVPronType=Int9 wantadvmod
8youyouPRONCase=Nom Person=2 PronType=Prs9 wantnsubj
9wantwantVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
10totoPART_11 stopmark
11stopstopVERBVerbForm=Inf9 wantxcomp
12playingplayVERBVerbForm=Ger11 stopxcomp
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1givegerunda game not said heresurprise rewardsvn give-13.1-1 «NP V NP»: agent=Agent reward=Theme
2wantpresenta gamevn want-32.1-1-1 «NP V NP S_INF»: agent=Pivot clause=Theme
3stop not said to happento-infinitivea game not said herevn stop-55.4-1-1 «NP V S_ING»: agent=Affector clause=Eventuality
4playgerunda game not said herevn performance-26.7-1 «NP V»: agent=Agent

Option 3 · ← Mova's choice · ✓ the right answer

A phone reading a menu aloud for someone with weak eyes

detacldetobjadvmodcaseoblcaseamodnmodrootADETphoneNOUNreadingVERBaDETmenuNOUNaloudADVforADPsomeonePRONwithADPweakADJeyesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 phonedet
2phonephoneNOUNNumber=Singrootroot
3readingreadVERBVerbForm=Ger2 phoneacl
4aaDETDefinite=Ind PronType=Art5 menudet
5menumenuNOUNNumber=Sing3 readingobj
6aloudaloudADV_3 readingadvmod
7forforADP_8 someonecase
8someonesomeonePRONNumber=Sing PronType=Ind3 readingobl
9withwithADP_11 eyescase
10weakweakADJDegree=Pos11 eyesamod
11eyeseyeNOUNNumber=Plur8 someonenmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1readgerunda phone not said herea menufor someone; aloud propertyvn transfer_mesg-37.1.1-1 «NP V NP»: agent=Agent menu=Topic

Option 4

A shop app suggesting more things to buy

detcompoundaclamodobjmarkaclrootADETshopNOUNappNOUNsuggestingVERBmoreADJthingsNOUNtoPARTbuyVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 appdet
2shopshopNOUNNumber=Sing3 appcompound
3appappNOUNNumber=Singrootroot
4suggestingsuggestVERBVerbForm=Ger3 appacl
5moremoreADJDegree=Cmp6 thingsamod
6thingsthingNOUNNumber=Plur4 suggestingobj
7totoPART_8 buymark
8buybuyVERBVerbForm=Inf6 thingsacl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1suggest speech: suggestgerunda shop app not said heremore thingsvn say-37.7-1-1-1 «NP V NP.topic»: agent=Agent thing=Topic
2buyto-infinitivea shop app not said heremore things not said herevn accept-77.1 «NP V how 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/ai/18-cars-doctors-translators/t8/