Test 4 · ★★★ · Using AI to learn, not to copy
A detector says Lily's own story is "98% AI". What is the sensible thought?
Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: detector, own story, sensible thought · What happens: say, be · To what, where: % AI · Speech: someone speaks here
This is test 4 · ★★★ of lesson 10 «Using AI to learn, not to copy» 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 detector says Lily's own story is "98% AI".
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | A | a | DET | Definite=Ind PronType=Art | 2 detector | det |
| 2 | detector | detector | NOUN | Number=Sing | 3 says | nsubj |
| 3 | says | say | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 4 | Lily | Lily | PROPN | Number=Sing | 7 story | nmod:poss |
| 5 | 's | 's | PART | _ | 4 Lily | case |
| 6 | own | own | ADJ | Degree=Pos | 7 story | amod |
| 7 | story | story | NOUN | Number=Sing | 12 AI | nsubj |
| 8 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 12 AI | cop |
| 9 | " | " | PUNCT | _ | 12 AI | punct |
| 10 | 98 | 98 | NUM | NumForm=Digit NumType=Card | 11 % | nummod |
| 11 | % | % | SYM | Number=Sing | 12 AI | compound |
| 12 | AI | ai | NOUN | Number=Sing | 3 says | ccomp |
| 13 | " | " | PUNCT | _ | 12 AI | punct |
| 14 | . | . | PUNCT | _ | 3 says | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | say speech: assert | present | a detector | vn say-37.7-1-1 «NP V that S»: agent=Agent | |||||
| 2 | is a in a quote | present | Lily's own story | % AI | tree rules |
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 is the sensible thought?
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | What | what | PRON | PronType=Int | root | root |
| 2 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 1 What | cop |
| 3 | the | the | DET | Definite=Def PronType=Art | 5 thought | det |
| 4 | sensible | sensible | ADJ | Degree=Pos | 5 thought | amod |
| 5 | thought | thought | NOUN | Number=Sing | 1 What | nsubj |
| 6 | ? | ? | PUNCT | _ | 1 What | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is a | present | the sensible thought | tree rules |
The options
Option 1 · ← Mova's choice
She must have used AI without knowing it
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | She | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 4 used | nsubj |
| 2 | must | must | AUX | VerbForm=Fin | 4 used | aux |
| 3 | have | have | AUX | VerbForm=Inf | 4 used | aux |
| 4 | used | use | VERB | Tense=Past VerbForm=Part | root | root |
| 5 | AI | ai | NOUN | Number=Sing | 4 used | xcomp |
| 6 | without | without | SCONJ | _ | 7 knowing | mark |
| 7 | knowing | know | VERB | Tense=Pres VerbForm=Part | 4 used | advcl |
| 8 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 7 knowing | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | use | must · perfect | She | AI | vn eat-39.1 «NP V»: agent=Agent | ||||
| 2 | know | gerund | She not said here | AI | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer it=Stimulus |
Option 2 · ✓ the right answer
Detectors can be wrong; she can show her drafts
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Detectors | detector | NOUN | Number=Plur | 4 wrong | nsubj |
| 2 | can | can | AUX | VerbForm=Fin | 4 wrong | aux |
| 3 | be | be | AUX | VerbForm=Inf | 4 wrong | cop |
| 4 | wrong | wrong | ADJ | Degree=Pos | root | root |
| 5 | ; | ; | PUNCT | _ | 8 show | punct |
| 6 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 8 show | nsubj |
| 7 | can | can | AUX | VerbForm=Fin | 8 show | aux |
| 8 | show | show | VERB | VerbForm=Inf | 4 wrong | parataxis |
| 9 | her | her | PRON | Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs | 10 drafts | nmod:poss |
| 10 | drafts | draft | NOUN | Number=Plur | 8 show | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | can | Detectors | wrong property | tree rules | ||||
| 2 | show | can | she | her drafts | vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent draft=Recipient | ||||
| 3 | draft | her = she | nom draft «possession transitive»: poss=agent |
Option 3
98% means she copied almost all of it from a bot
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | 98 | 98 | NUM | NumForm=Digit NumType=Card | 2 % | nummod |
| 2 | % | % | SYM | Number=Sing | 3 means | nsubj |
| 3 | means | mean | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 4 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 5 copied | nsubj |
| 5 | copied | copy | VERB | Tense=Past VerbForm=Part Voice=Pass | 3 means | ccomp |
| 6 | almost | almost | ADV | _ | 7 all | advmod |
| 7 | all | all | DET | PronType=Tot | 5 copied | obj |
| 8 | of | of | ADP | _ | 9 it | case |
| 9 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 7 all | nmod |
| 10 | from | from | ADP | _ | 12 bot | case |
| 11 | a | a | DET | Definite=Ind PronType=Art | 12 bot | det |
| 12 | bot | bot | NOUN | Number=Sing | 5 copied | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | mean | present | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic | ||||||
| 2 | copy | participle | she | all | a bot | vn scribble-25.2 «NP V NP»: agent=Agent all=Theme |
Option 4
She should rewrite it worse on purpose
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | She | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 3 rewrite | nsubj |
| 2 | should | should | AUX | VerbForm=Fin | 3 rewrite | aux |
| 3 | rewrite | rewrite | VERB | VerbForm=Inf | root | root |
| 4 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 3 rewrite | obj |
| 5 | worse | bad | ADJ | Degree=Cmp | 3 rewrite | xcomp |
| 6 | on | on | ADP | _ | 7 purpose | case |
| 7 | purpose | purpose | NOUN | Number=Sing | 3 rewrite | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | rewrite | should | She | it | purpose | bad property | tree 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/10-using-ai-to-learn-not-to-copy/t4/