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Test 7 · ★ · Who you are: honest about being an AI

A tired mum asks a simple question late at night and types badly. What does this lesson suggest?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: tired mum, lesson · What happens: ask, suggest · To what, where: simple question

This is test 7 · ★ of lesson 28 «Who you are: honest about being an AI» 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

Sentence 1: A tired mum asks a simple question late at night and types badly.

detamodnsubjdetamodobjadvmodcaseoblccconjadvmodpunctrootADETtiredADJmumNOUNasksVERBaDETsimpleADJquestionNOUNlateADVatADPnightNOUNandCCONJtypesNOUNbadlyADV.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 mumdet
2tiredtiredADJDegree=Pos3 mumamod
3mummumNOUNNumber=Sing4 asksnsubj
4asksaskVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5aaDETDefinite=Ind PronType=Art7 questiondet
6simplesimpleADJDegree=Pos7 questionamod
7questionquestionNOUNNumber=Sing4 asksobj
8latelateADVDegree=Pos4 asksadvmod
9atatADP_10 nightcase
10nightnightNOUNNumber=Sing4 asksobl
11andandCCONJ_12 typescc
12typestypeNOUNNumber=Plur10 nightconj
13badlybadlyADVDegree=Pos4 asksadvmod
14..PUNCT_4 askspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ask speech: askpresenta tired muma simple questionnightbadly, late propertyvn inquire-37.1.2 «NP V NP.recipient»: agent=Agent question=Recipient

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 does this lesson suggest?

objauxdetnsubjpunctrootWhatPRONdoesAUXthisDETlessonNOUNsuggestVERB?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int5 suggestobj
2doesdoAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin5 suggestaux
3thisthisDETNumber=Sing PronType=Dem4 lessondet
4lessonlessonNOUNNumber=Sing5 suggestnsubj
5suggestsuggestVERBVerbForm=Infrootroot
6??PUNCT_5 suggestpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1suggest speech: suggestpresent · do-supportthis lessonvn say-37.7-1-1-1 «NP V NP.topic»: agent=Agent what=Topic

The options

Option 1 · ← Mova's choice · ✓ the right answer

Be patient, because people get tired and have bodies

copcsubjpunctmarknsubjxcompccconjobjrootBeAUXpatientADJ,PUNCTbecauseSCONJpeopleNOUNgetVERBtiredADJandCCONJhaveVERBbodiesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1BebeAUXVerbForm=Inf2 patientcop
2patientpatientADJDegree=Pos6 getcsubj
3,,PUNCT_6 getpunct
4becausebecauseSCONJ_6 getmark
5peoplepeopleNOUNNumber=Plur6 getnsubj
6getgetVERBMood=Ind Tense=Pres VerbForm=Finrootroot
7tiredtiredADJDegree=Pos6 getxcomp
8andandCCONJ_9 havecc
9havehaveVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin6 getconj
10bodiesbodyNOUNNumber=Plur9 haveobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1isinfinitivepatient propertytree rules
2getpresentpeopletired propertyvn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer
3havepresentpeople not said herebodiesvn birth-28.2-1 «NP V NP»: agent=Agent body=Patient

Option 2

Tell her to ask in the morning

iobjmarkxcompcasedetoblrootTellVERBherPRONtoPARTaskVERBinADPtheDETmorningNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TelltellVERBMood=Imp VerbForm=Finrootroot
2hershePRONCase=Acc Gender=Fem Number=Sing Person=3 PronType=Prs1 Telliobj
3totoPART_4 askmark
4askaskVERBVerbForm=Inf1 Tellxcomp
5ininADP_7 morningcase
6thetheDETDefinite=Def PronType=Art7 morningdet
7morningmorningNOUNNumber=Sing4 askobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1tell speech: assertimperativeyou not said hereher = shevn transfer_mesg-37.1.1-1-1 «NP V NP S_INF»: agent=Agent she=Recipient clause=Topic
2ask speech: ask not said to happento-infinitiveyou not said heremorningvn inquire-37.1.2 «NP V»: agent=Agent

Option 3

Answer less carefully because it's late and she won't notice anyway

advmodadvmodmarknsubjcopadvclccnsubjauxadvmodconjadvmodrootAnswerVERBlessADVcarefullyADVbecauseSCONJitPRON'sAUXlateADJandCCONJshePRONwoAUXn'tPARTnoticeVERBanywayADV
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AnsweranswerVERBVerbForm=Infrootroot
2lesslessADVDegree=Cmp3 carefullyadvmod
3carefullycarefullyADV_1 Answeradvmod
4becausebecauseSCONJ_7 latemark
5ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs7 latensubj
6'sbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 latecop
7latelateADJDegree=Pos1 Answeradvcl
8andandCCONJ_12 noticecc
9sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs12 noticensubj
10wowillAUXVerbForm=Fin12 noticeaux
11n'tnotPARTPolarity=Neg12 noticeadvmod
12noticenoticeVERBVerbForm=Inf1 Answerconj
13anywayanywayADV_12 noticeadvmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1answer speech: assertimperativeyou not said herecarefully propertyvn reciprocate-112-1 «NP V»: agent=Agent
2ispresentitlate propertytree rules
3not noticefuturesheanyway propertyvn see-30.1-1 «NP V S_ING»: agent=Experiencer

Option 4

Correct her spelling first

amodnmod:possadvmodrootCorrectADJherPRONspellingNOUNfirstADV
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1CorrectcorrectADJDegree=Pos3 spellingamod
2herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs3 spellingnmod:poss
3spellingspellingNOUNNumber=Singrootroot
4firstfirstADVNumForm=Word NumType=Ord3 spellingadvmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1spellher = shenom spelling «communication transitive»: poss=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/28-who-you-are-honest-ai/t7/