Test 8 · ★ · Andersen's Fairy Tales, The Shirt Collar: a boastful colla…
Mate, why did the scissors chop the collar?
Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: scissors · What happens: chop · To what, where: collar
This is test 8 · ★ of lesson 976 «Andersen's Fairy Tales, The Shirt Collar: a boastful collar loses every bride and ends as paper» of the books 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 | Mate | mate | NOUN | Number=Sing | root | root |
| 2 | , | , | PUNCT | _ | 7 chop | punct |
| 3 | why | why | ADV | PronType=Int | 7 chop | advmod |
| 4 | did | do | AUX | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | 7 chop | aux |
| 5 | the | the | DET | Definite=Def PronType=Art | 6 scissors | det |
| 6 | scissors | scissors | NOUN | Number=Plur | 7 chop | nsubj |
| 7 | chop | chop | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 1 Mate | conj |
| 8 | the | the | DET | Definite=Def PronType=Art | 9 collar | det |
| 9 | collar | collar | NOUN | Number=Sing | 7 chop | obj |
| 10 | ? | ? | PUNCT | _ | 1 Mate | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | chop | past · do-support | the scissors | the collar | vn carve-21.2-2 «NP V NP»: agent=Agent collar=Patient |
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
She was sharpened too long and so cut the collar in rage
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 sharpened | nsubj:pass |
| 2 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 3 sharpened | aux:pass |
| 3 | sharpened | sharpen | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 4 | too | too | ADV | _ | 5 long | advmod |
| 5 | long | long | ADV | Degree=Pos | 3 sharpened | advmod |
| 6 | and | and | CCONJ | _ | 8 cut | cc |
| 7 | so | so | ADV | _ | 8 cut | advmod |
| 8 | cut | cut | VERB | VerbForm=Inf | 3 sharpened | conj |
| 9 | the | the | DET | Definite=Def PronType=Art | 10 collar | det |
| 10 | collar | collar | NOUN | Number=Sing | 8 cut | obj |
| 11 | in | in | ADP | _ | 12 rage | case |
| 12 | rage | rage | NOUN | Number=Sing | 8 cut | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | sharpen | past · passive | She | long property | vn other_cos-45.4 «NP V NP.patient»: subject=Patient | ||||
| 2 | cut | infinitive | the collar | rage | vn build-26.1-1 «NP.asset V NP»: agent=Asset collar=Product |
Option 2
She got very angry at his bold proposal
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 | 2 got | nsubj |
| 2 | got | get | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | very | very | ADV | _ | 4 angry | advmod |
| 4 | angry | angry | ADJ | Degree=Pos | 2 got | xcomp |
| 5 | at | at | ADP | _ | 8 proposal | case |
| 6 | his | his | PRON | Case=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs | 8 proposal | nmod:poss |
| 7 | bold | bold | ADJ | Degree=Pos | 8 proposal | amod |
| 8 | proposal | proposal | NOUN | Number=Sing | 4 angry | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | get | past | She | angry property | vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer | ||||
| 2 | propose | his = he | nom proposal «communication intransitive»: poss=agent |
Option 3
She got quite upset
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 | 2 got | nsubj |
| 2 | got | get | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | quite | quite | ADV | _ | 4 upset | advmod |
| 4 | upset | upset | ADJ | Degree=Pos | 2 got | xcomp |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | get | past | She | upset property | vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer |
Option 4 · ✓ the right answer
She got well angry
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 | 2 got | nsubj |
| 2 | got | get | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | well | well | ADV | Degree=Pos | 2 got | advmod |
| 4 | angry | angry | ADJ | Degree=Pos | 2 got | xcomp |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | get | past | She | angry, well property | vn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer |
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/books/976-pg27200-part187/t8/