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Test 9 · ★★ · In the news: tricked bots, real discoveries, careful words

A book with a famous author's name looks odd and full of mistakes. What might be going on?

Mova's choice: option 2 · The right answer: option 2 · right ✓ · Who acts: book, famous author · What happens: look, name, go on

This is test 9 · ★★ of lesson 23 «In the news: tricked bots, real discoveries, careful words» 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 book with a famous author's name looks odd and full of mistakes.

detnsubjcasedetamodnmod:posscasenmodxcompccconjcasenmodpunctrootADETbookNOUNwithADPaDETfamousADJauthorNOUN'sPARTnameNOUNlooksVERBoddADJandCCONJfullADJofADPmistakesNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 bookdet
2bookbookNOUNNumber=Sing9 looksnsubj
3withwithADP_8 namecase
4aaDETDefinite=Ind PronType=Art6 authordet
5famousfamousADJDegree=Pos6 authoramod
6authorauthorNOUNNumber=Sing8 namenmod:poss
7's'sPART_6 authorcase
8namenameNOUNNumber=Sing2 booknmod
9lookslookVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
10oddoddADJDegree=Pos9 looksxcomp
11andandCCONJ_12 fullcc
12fullfullADJDegree=Pos10 oddconj
13ofofADP_14 mistakescase
14mistakesmistakeNOUNNumber=Plur12 fullnmod
15..PUNCT_9 lookspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1lookpresenta book with a famous author's nameodd propertyvn stimulus_subject-30.4 «NP V ADJ»: agent=Stimulus
2namea famous authornom name «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 might be going on?

nsubjauxauxcompound:prtpunctrootWhatPRONmightAUXbeAUXgoingVERBonADP?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int4 goingnsubj
2mightmightAUXVerbForm=Fin4 goingaux
3bebeAUXVerbForm=Inf4 goingaux
4goinggoVERBTense=Pres VerbForm=Partrootroot
5ononADP_4 goingcompound:prt
6??PUNCT_4 goingpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1go onmight · progressivevn function-105.2.1 «NP V»: agent=Theme

The options

Option 1

It must be her first ever book

nsubjauxcopnmod:possamodadvmodrootItPRONmustAUXbeAUXherPRONfirstADJeverADVbookNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ItitPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs7 booknsubj
2mustmustAUXVerbForm=Fin7 bookaux
3bebeAUXVerbForm=Inf7 bookcop
4herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs7 booknmod:poss
5firstfirstADJDegree=Pos NumForm=Word NumType=Ord7 bookamod
6evereverADVPronType=Ind7 bookadvmod
7bookbookNOUNNumber=Singrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is amustIther first bookevertree rules

Option 2 · ← Mova's choice · ✓ the right answer

It could be a fake made under her name

nsubjauxcopdetaclcasenmod:possoblrootItPRONcouldAUXbeAUXaDETfakeNOUNmadeVERBunderADPherPRONnameNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ItitPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs5 fakensubj
2couldcouldAUXVerbForm=Fin5 fakeaux
3bebeAUXVerbForm=Inf5 fakecop
4aaDETDefinite=Ind PronType=Art5 fakedet
5fakefakeNOUNNumber=Singrootroot
6mademakeVERBTense=Past VerbForm=Part Voice=Pass5 fakeacl
7underunderADP_9 namecase
8herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs9 namenmod:poss
9namenameNOUNNumber=Sing6 madeobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is acouldIta faketree rules
2makeparticiplea fake not said hereher namevn build-26.1-1 «NP.asset V NP»: agent=Asset
3nameher = shenom name «communication transitive»: poss=agent

Option 3

Famous authors always make mistakes

amodnsubjadvmodobjrootFamousADJauthorsNOUNalwaysADVmakeVERBmistakesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1FamousfamousADJDegree=Pos2 authorsamod
2authorsauthorNOUNNumber=Plur4 makensubj
3alwaysalwaysADVPronType=Tot4 makeadvmod
4makemakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
5mistakesmistakeNOUNNumber=Plur4 makeobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1makepresentFamous authorsmistakesalways propertyvn build-26.1-1 «NP.asset V NP»: agent=Asset mistake=Product

Option 4

The printer changed her words

detnsubjobjobjrootTheDETprinterNOUNchangedVERBherPRONwordsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art2 printerdet
2printerprinterNOUNNumber=Sing3 changednsubj
3changedchangeVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4hershePRONCase=Acc Gender=Fem Number=Sing Person=3 PronType=Prs3 changedobj
5wordswordNOUNNumber=Plur3 changedobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1changepastthe printerher = shetree rules

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/23-news-tricked-bots-discoveries/t9/