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Test 8 · ★★ · The essay the teacher spotted

Maddie's bot fixes her spelling. What turns that into learning?

Mova's choice: option 2 · The right answer: option 4 · wrong ✗ · Who acts: bot · What happens: fix, spell, turn · To what, where: spelling, that, learning

This is test 8 · ★★ of lesson 9 «The essay the teacher spotted» 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: Maddie's bot fixes her spelling.

nmod:posscasensubjnmod:possobjpunctrootMaddiePROPN'sPARTbotNOUNfixesVERBherPRONspellingNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1MaddieMaddiePROPNNumber=Sing3 botnmod:poss
2's'sPART_1 Maddiecase
3botbotNOUNNumber=Sing4 fixesnsubj
4fixesfixVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs6 spellingnmod:poss
6spellingspellingNOUNNumber=Sing4 fixesobj
7..PUNCT_4 fixespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1fixpresentMaddie's botbot's spellingvn shake-22.3-2 «NP V NP together»: agent=Agent spelling=Patient
2spellbotnom spelling «communication transitive»: poss=agent

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 turns that into learning?

nsubjobjcaseoblpunctrootWhatPRONturnsVERBthatPRONintoADPlearningNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int2 turnsnsubj
2turnsturnVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
3thatthatPRONNumber=Sing PronType=Dem2 turnsobj
4intointoADP_5 learningcase
5learninglearningNOUNNumber=Sing2 turnsobl
6??PUNCT_2 turnspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1turnpresentthatlearningvn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent that=Theme into learning=Trajectory

The options

Option 1

Clicking "accept all" quickly and moving on

punctxcompobjpunctadvmodccconjcompound:prtrootClickingVERB"PUNCTacceptVERBallDET"PUNCTquicklyADVandCCONJmovingVERBonADP
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ClickingclickVERBTense=Pres VerbForm=Partrootroot
2""PUNCT_3 acceptpunct
3acceptacceptVERBVerbForm=Inf1 Clickingxcomp
4allallDETPronType=Tot3 acceptobj
5""PUNCT_3 acceptpunct
6quicklyquicklyADV_1 Clickingadvmod
7andandCCONJ_8 movingcc
8movingmoveVERBTense=Pres VerbForm=Part1 Clickingconj
9ononADP_8 movingcompound:prt
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1clickgerundquickly propertytree rules
2accept in a quoteinfinitiveallvn obtain-13.5.2 «NP V NP»: agent=Agent all=Theme
3move ongerundvn roll-51.3.1 «NP.theme V»: agent=Theme

Option 2 · ← Mova's choice

Asking the bot to fix it all twice over

detobjmarkxcompobjadvmodadvmodadvmodrootAskingVERBtheDETbotNOUNtoPARTfixVERBitPRONallADVtwiceADVoverADV
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AskingaskVERBTense=Pres VerbForm=Partrootroot
2thetheDETDefinite=Def PronType=Art3 botdet
3botbotNOUNNumber=Sing1 Askingobj
4totoPART_5 fixmark
5fixfixVERBVerbForm=Inf1 Askingxcomp
6ititPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs5 fixobj
7allallADV_8 twiceadvmod
8twicetwiceADVNumForm=Word NumType=Mult5 fixadvmod
9overoverADV_5 fixadvmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ask speech: askgerundthe botvn inquire-37.1.2 «NP V NP whether S_INF»: agent=Agent bot=Recipient clause=Topic
2fix not said to happento-infinitivethe bot not said herebotover, twice propertyvn shake-22.3-2 «NP V NP together»: agent=Agent it=Patient

Option 3

Never looking at the changes it made

advmodadvclcasedetoblnsubjrootNeverADVlookingVERBatADPtheDETchangesNOUNitPRONmadeVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1NeverneverADVPronType=Neg2 lookingadvmod
2lookinglookVERBTense=Pres VerbForm=Part7 madeadvcl
3atatADP_5 changescase
4thetheDETDefinite=Def PronType=Art5 changesdet
5changeschangeNOUNNumber=Plur2 lookingobl
6ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs7 madensubj
7mademakeVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1not lookgerundat the changesvn peer-30.3 «NP V PP.theme»: agent=Agent at change=Theme
2makepastitvn build-26.1-1 «NP.material V NP»: agent=Material

Option 4 · ✓ the right answer

Looking at what was fixed and why

csubjmarknsubj:passaux:passadvclccrootLookingVERBatSCONJwhatPRONwasAUXfixedVERBandCCONJwhyADV
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1LookinglookVERBTense=Pres VerbForm=Part7 whycsubj
2atatSCONJ_5 fixedmark
3whatwhatPRONPronType=Int5 fixednsubj:pass
4wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin5 fixedaux:pass
5fixedfixVERBTense=Past VerbForm=Part Voice=Pass1 Lookingadvcl
6andandCCONJ_7 whycc
7whywhyADVPronType=Relrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1lookgerundvn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus
2fixpast · passivevn shake-22.3-2 «NP V NP together»: subject=Patient

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/9-the-essay-the-teacher-spotted/t8/