Test 11 · ★★ · Nice alone, mean in a group
Bella tells you «love ur hair» then whispers to her mates and they snigger. Which is most likely true?
Mova's choice: option 4 · The right answer: option 3 · wrong ✗ · Who acts: Bella, mates · What happens: tell, love, whisper, snigger, be · To what, where: you, hair, mates · Speech: someone speaks here
This is test 11 · ★★ of lesson 468 «Nice alone, mean in a group» 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
Sentence 1: Bella tells you «love ur hair» then whispers to her mates and they snigger.
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Bella | Bella | PROPN | Number=Sing | 2 tells | nsubj |
| 2 | tells | tell | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 3 | you | you | PRON | Case=Acc Person=2 PronType=Prs | 2 tells | iobj |
| 4 | « | « | PUNCT | _ | 5 love | punct |
| 5 | love | love | VERB | Mood=Ind Number=Sing Person=1 Tense=Pres VerbForm=Fin | 2 tells | ccomp |
| 6 | ur | your | PRON | Abbr=Yes Case=Gen Person=2 Poss=Yes PronType=Prs | 7 hair | nmod:poss |
| 7 | hair | hair | NOUN | Number=Sing | 5 love | obj |
| 8 | » | » | PUNCT | _ | 5 love | punct |
| 9 | then | then | ADV | PronType=Dem | 10 whispers | advmod |
| 10 | whispers | whisper | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 5 love | advcl |
| 11 | to | to | ADP | _ | 13 mates | case |
| 12 | her | her | PRON | Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs | 13 mates | nmod:poss |
| 13 | mates | mate | NOUN | Number=Plur | 10 whispers | obl |
| 14 | and | and | CCONJ | _ | 16 snigger | cc |
| 15 | they | they | PRON | Case=Nom Number=Plur Person=3 PronType=Prs | 16 snigger | nsubj |
| 16 | snigger | snigger | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 10 whispers | conj |
| 17 | . | . | PUNCT | _ | 2 tells | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | tell speech: assert | present | Bella | you | vn transfer_mesg-37.1.1-1-1 «NP V NP S»: agent=Agent you=Recipient clause=Topic | ||||
| 2 | love in a quote | present | ur's hair | vn admire-31.2-1 «NP V NP»: agent=Experiencer hair=Stimulus | |||||
| 3 | whisper speech: assert | present | Bella's mates | then | vn manner_speaking-37.3 «NP V PP.recipient»: agent=Agent to mate=Recipient | ||||
| 4 | snigger | present | mates = mate | vn nonverbal_expression-40.2 «NP V»: 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 most likely true?
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Which | which | PRON | PronType=Rel | 5 true | nsubj |
| 2 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 5 true | cop |
| 3 | most | most | ADV | Degree=Sup | 4 likely | advmod |
| 4 | likely | likely | ADV | _ | 5 true | advmod |
| 5 | true | true | ADJ | Degree=Pos | root | root |
| 6 | ? | ? | PUNCT | _ | 5 true | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | likely, true property | tree rules |
The options
Option 1
Her mates all have a bad cold
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Her | her | PRON | Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs | 2 mates | nmod:poss |
| 2 | mates | mate | NOUN | Number=Plur | 4 have | nsubj |
| 3 | all | all | ADV | _ | 4 have | advmod |
| 4 | have | have | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | root | root |
| 5 | a | a | DET | Definite=Ind PronType=Art | 7 cold | det |
| 6 | bad | bad | ADJ | Degree=Pos | 7 cold | amod |
| 7 | cold | cold | NOUN | Number=Sing | 4 have | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | have | present | Her mates | a bad cold | all property | vn birth-28.2-1 «NP V NP»: agent=Agent cold=Patient |
Option 2
She's just being nice to you
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 | 5 nice | nsubj |
| 2 | 's | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 5 nice | cop |
| 3 | just | just | ADV | _ | 5 nice | advmod |
| 4 | being | be | AUX | Tense=Pres VerbForm=Part | 5 nice | cop |
| 5 | nice | nice | ADJ | Degree=Pos | root | root |
| 6 | to | to | ADP | _ | 7 you | case |
| 7 | you | you | PRON | Case=Acc Person=2 PronType=Prs | 5 nice | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | She | you | nice property | tree rules |
Option 3 · ✓ the right answer
She's being two-faced
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 | 6 faced | nsubj |
| 2 | 's | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 6 faced | cop |
| 3 | being | be | AUX | Tense=Pres VerbForm=Part | 6 faced | cop |
| 4 | two | two | NUM | NumForm=Word NumType=Card | 6 faced | nummod |
| 5 | - | - | PUNCT | _ | 4 two | punct |
| 6 | faced | faced | ADJ | Degree=Pos | root | root |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | She | faced property | tree rules |
Option 4 · ← Mova's choice
She was talking about the weather
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 talking | nsubj |
| 2 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 3 talking | aux |
| 3 | talking | talk | VERB | Tense=Pres VerbForm=Part | root | root |
| 4 | about | about | ADP | _ | 6 weather | case |
| 5 | the | the | DET | Definite=Def PronType=Art | 6 weather | det |
| 6 | weather | weather | NOUN | Number=Sing | 3 talking | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | talk | past · progressive | She | about the weather | vn talk-37.5 «NP V PP.topic»: agent=Agent about weather=Topic |
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/468-nice-alone-mean-in-a-group/t11/