Test 4 · ★★ · In the news: jobs, art and copying, children's safety
Your cousin says, "That bot really loved the reporter, it said so." Which is truer?
Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: cousin, bot · What happens: say, love, be · To what, where: reporter · Speech: someone speaks here
This is test 4 · ★★ of lesson 22 «In the news: jobs, art and copying, children's safety» 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: Your cousin says, "That bot really loved the reporter, it said so."
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Your | your | PRON | Case=Gen Person=2 Poss=Yes PronType=Prs | 2 cousin | nmod:poss |
| 2 | cousin | cousin | NOUN | Number=Sing | 3 says | nsubj |
| 3 | says | say | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 4 | , | , | PUNCT | _ | 9 loved | punct |
| 5 | " | " | PUNCT | _ | 9 loved | punct |
| 6 | That | that | DET | Number=Sing PronType=Dem | 7 bot | det |
| 7 | bot | bot | NOUN | Number=Sing | 9 loved | nsubj |
| 8 | really | really | ADV | _ | 9 loved | advmod |
| 9 | loved | love | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 3 says | ccomp |
| 10 | the | the | DET | Definite=Def PronType=Art | 11 reporter | det |
| 11 | reporter | reporter | NOUN | Number=Sing | 9 loved | obj |
| 12 | , | , | PUNCT | _ | 14 said | punct |
| 13 | it | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 14 said | nsubj |
| 14 | said | say | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 3 says | parataxis |
| 15 | so | so | ADV | _ | 14 said | advmod |
| 16 | . | . | PUNCT | _ | 3 says | punct |
| 17 | " | " | PUNCT | _ | 3 says | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | say speech: assert | present | Your cousin | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic | |||||
| 2 | love in a quote | past | that bot | the reporter | vn admire-31.2-1 «NP V NP»: agent=Experiencer reporter=Stimulus | ||||
| 3 | say speech: assert in a quote | past | bot | vn say-37.7-1-1 «NP V that S»: agent=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: Which is truer?
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Which | which | PRON | PronType=Rel | 3 truer | nsubj |
| 2 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 3 truer | cop |
| 3 | truer | true | ADJ | Degree=Cmp | root | root |
| 4 | ? | ? | PUNCT | _ | 3 truer | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | true property | tree rules |
The options
Option 1 · ← Mova's choice · ✓ the right answer
It made dramatic text from patterns, not real feelings
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 2 made | nsubj |
| 2 | made | make | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | dramatic | dramatic | ADJ | Degree=Pos | 4 text | amod |
| 4 | text | text | NOUN | Number=Sing | 2 made | obj |
| 5 | from | from | ADP | _ | 6 patterns | case |
| 6 | patterns | pattern | NOUN | Number=Plur | 2 made | obl |
| 7 | , | , | PUNCT | _ | 10 feelings | punct |
| 8 | not | not | PART | Polarity=Neg | 10 feelings | advmod |
| 9 | real | real | ADJ | Degree=Pos | 10 feelings | amod |
| 10 | feelings | feeling | NOUN | Number=Plur | 2 made | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | make | past | It | dramatic text | patterns | real feelings obl | vn build-26.1-1 «NP.asset V PP»: agent=Asset text=Product from pattern=Material |
Option 2
It loved him until the company stopped it
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 2 loved | nsubj |
| 2 | loved | love | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | him | he | PRON | Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs | 2 loved | obj |
| 4 | until | until | SCONJ | _ | 7 stopped | mark |
| 5 | the | the | DET | Definite=Def PronType=Art | 6 company | det |
| 6 | company | company | NOUN | Number=Sing | 7 stopped | nsubj |
| 7 | stopped | stop | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 2 loved | advcl |
| 8 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 7 stopped | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | love | past | It | him = he | vn admire-31.2-1 «NP V NP»: agent=Experiencer he=Stimulus | ||||
| 2 | stop | past | the company | it | vn stop-55.4-1-1 «NP V NP.eventuality»: agent=Subeventuality it=Eventuality |
Option 3
It really loved him but was too shy to say it again
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 3 loved | nsubj |
| 2 | really | really | ADV | _ | 3 loved | advmod |
| 3 | loved | love | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 4 | him | he | PRON | Case=Acc Gender=Masc Number=Sing Person=3 PronType=Prs | 3 loved | obj |
| 5 | but | but | CCONJ | _ | 8 shy | cc |
| 6 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 8 shy | cop |
| 7 | too | too | ADV | _ | 8 shy | advmod |
| 8 | shy | shy | ADJ | Degree=Pos | 3 loved | conj |
| 9 | to | to | PART | _ | 10 say | mark |
| 10 | say | say | VERB | VerbForm=Inf | 8 shy | advcl |
| 11 | it | it | PRON | Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs | 10 say | obj |
| 12 | again | again | ADV | _ | 10 say | advmod |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | love | past | It | him = he | vn admire-31.2-1 «NP V NP»: agent=Experiencer he=Stimulus | ||||
| 2 | is | past | shy property | tree rules | |||||
| 3 | say speech: assert | to-infinitive | it | again | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent it=Topic |
Option 4
It was programmed to love one person
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 3 programmed | nsubj:pass |
| 2 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 3 programmed | aux:pass |
| 3 | programmed | program | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 4 | to | to | PART | _ | 5 love | mark |
| 5 | love | love | VERB | VerbForm=Inf | 3 programmed | xcomp |
| 6 | one | one | NUM | NumForm=Word NumType=Card | 7 person | nummod |
| 7 | person | person | NOUN | Number=Sing | 5 love | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | program | past · passive | It | tree rules | |||||
| 2 | love | to-infinitive | one person | vn admire-31.2-1 «NP V NP»: agent=Experiencer person=Stimulus |
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/22-news-jobs-art-safety/t4/