Test 7 · ★ · Privacy, screens, sleep and fairness
Which compliment will make a classmate feel best?
Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: compliment, classmate · What happens: make, feel · To what, where: classmate
This is test 7 · ★ of lesson 216 «Privacy, screens, sleep and fairness» of the everyday 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
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Which | which | DET | PronType=Int | 2 compliment | det |
| 2 | compliment | compliment | NOUN | Number=Sing | 4 make | nsubj |
| 3 | will | will | AUX | VerbForm=Fin | 4 make | aux |
| 4 | make | make | VERB | VerbForm=Inf | root | root |
| 5 | a | a | DET | Definite=Ind PronType=Art | 6 classmate | det |
| 6 | classmate | classmate | NOUN | Number=Sing | 4 make | obj |
| 7 | feel | feel | VERB | VerbForm=Inf | 4 make | xcomp |
| 8 | best | good | ADJ | Degree=Sup | 7 feel | xcomp |
| 9 | ? | ? | PUNCT | _ | 4 make | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | make | future | which compliment | a classmate | tree rules | ||||
| 2 | feel | infinitive | a classmate not said here | good property | vn stimulus_subject-30.4 «NP V ADJ»: agent=Stimulus |
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.
The options
Option 1 · ← Mova's choice
"You're nearly as good as me"
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | " | " | PUNCT | _ | 6 good | punct |
| 2 | You | you | PRON | Case=Nom Person=2 PronType=Prs | 6 good | nsubj |
| 3 | 're | be | AUX | Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin | 6 good | cop |
| 4 | nearly | nearly | ADV | _ | 6 good | advmod |
| 5 | as | as | ADV | _ | 6 good | advmod |
| 6 | good | good | ADJ | Degree=Pos | root | root |
| 7 | as | as | ADP | _ | 8 me | case |
| 8 | me | I | PRON | Case=Acc Number=Sing Person=1 PronType=Prs | 6 good | obl |
| 9 | " | " | PUNCT | _ | 6 good | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is in a quote | present | You | as me; good, nearly property | tree rules |
Option 2 · ✓ the right answer
"Your speech made me laugh at the part about your dog"
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | " | " | PUNCT | _ | 4 made | punct |
| 2 | Your | your | PRON | Case=Gen Person=2 Poss=Yes PronType=Prs | 3 speech | nmod:poss |
| 3 | speech | speech | NOUN | Number=Sing | 4 made | nsubj |
| 4 | made | make | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 5 | me | I | PRON | Case=Acc Number=Sing Person=1 PronType=Prs | 4 made | obj |
| 6 | laugh | laugh | VERB | VerbForm=Inf | 4 made | xcomp |
| 7 | at | at | ADP | _ | 9 part | case |
| 8 | the | the | DET | Definite=Def PronType=Art | 9 part | det |
| 9 | part | part | NOUN | Number=Sing | 6 laugh | obl |
| 10 | about | about | ADP | _ | 12 dog | case |
| 11 | your | your | PRON | Case=Gen Person=2 Poss=Yes PronType=Prs | 12 dog | nmod:poss |
| 12 | dog | dog | NOUN | Number=Sing | 9 part | nmod |
| 13 | " | " | PUNCT | _ | 4 made | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | make in a quote | past | Your speech | me | tree rules | ||||
| 2 | laugh in a quote | infinitive | me not said here | the part about your dog | vn nonverbal_expression-40.2 «NP V»: agent=Agent | ||||
| 3 | speak in a quote | Your | nom speech «communication transitive»: poss=agent |
Option 3
"Good job" said without looking
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | " | " | PUNCT | _ | 3 job | punct |
| 2 | Good | good | ADJ | Degree=Pos | 3 job | amod |
| 3 | job | job | NOUN | Number=Sing | 5 said | nsubj |
| 4 | " | " | PUNCT | _ | 3 job | punct |
| 5 | said | say | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 6 | without | without | SCONJ | _ | 7 looking | mark |
| 7 | looking | look | VERB | Tense=Pres VerbForm=Part | 5 said | advcl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | say speech: assert | past | Good job | vn say-37.7-1-1 «NP V that S»: agent=Agent | |||||
| 2 | look | gerund | Good job not said here | vn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus |
Option 4
"Not bad for you"
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | " | " | PUNCT | _ | 3 bad | punct |
| 2 | Not | not | PART | Polarity=Neg | 3 bad | advmod |
| 3 | bad | bad | ADJ | Degree=Pos | root | root |
| 4 | for | for | ADP | _ | 5 you | case |
| 5 | you | you | PRON | Case=Acc Person=2 PronType=Prs | 3 bad | obl |
| 6 | " | " | PUNCT | _ | 3 bad | punct |
The frames reader finds no event or fact in this sentence.
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/everyday/216-privacy-screens-sleep-and-fairness/t7/