Test 7 · ★ · Soft words for hard things: illness, disability and the body
Dad: "Bloody hell, Gran's been under the knife again." What happened to Gran?
Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · What happens: be, happen · To what, where: knife, Gran
This is test 7 · ★ of lesson 5 «Soft words for hard things: illness, disability and the body» of the euphemisms 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: Dad: "Bloody hell, Gran's been under the knife again."
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Dad | dad | NOUN | Number=Sing | root | root |
| 2 | : | : | PUNCT | _ | 5 hell | punct |
| 3 | " | " | PUNCT | _ | 5 hell | punct |
| 4 | Bloody | bloody | ADJ | Degree=Pos | 5 hell | amod |
| 5 | hell | hell | NOUN | Number=Sing | 1 Dad | appos |
| 6 | , | , | PUNCT | _ | 12 knife | punct |
| 7 | Gran | Gran | PROPN | Number=Sing | 12 knife | nmod:poss |
| 8 | 's | 's | PART | _ | 7 Gran | case |
| 9 | been | be | AUX | Tense=Past VerbForm=Part | 12 knife | cop |
| 10 | under | under | ADP | _ | 12 knife | case |
| 11 | the | the | DET | Definite=Def PronType=Art | 12 knife | det |
| 12 | knife | knife | NOUN | Number=Sing | 5 hell | appos |
| 13 | again | again | ADV | _ | 12 knife | advmod |
| 14 | . | . | PUNCT | _ | 12 knife | punct |
| 15 | " | " | PUNCT | _ | 12 knife | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is in a quote | participle | Gran's knife | again | 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 happened to Gran?
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | What | what | PRON | PronType=Int | 2 happened | nsubj |
| 2 | happened | happen | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | to | to | ADP | _ | 4 Gran | case |
| 4 | Gran | Gran | PROPN | Number=Sing | 2 happened | obl |
| 5 | ? | ? | PUNCT | _ | 2 happened | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | happen | past | Gran | vn occur-48.3-1 «NP V»: agent=Theme |
The options
Option 1 · ← Mova's choice
She cut herself cooking
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 cut | nsubj |
| 2 | cut | cut | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | herself | herself | PRON | Case=Acc Gender=Fem Number=Sing Person=3 PronType=Prs Reflex=Yes | 2 cut | obj |
| 4 | cooking | cooking | NOUN | Number=Sing | 2 cut | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | cut | past | She | herself = she | vn build-26.1-1 «NP.asset V NP NP»: agent=Asset herself=Beneficiary cooking=Product |
Option 2
She had her hair cut
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 had | nsubj |
| 2 | had | have | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | her | her | PRON | Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs | 4 hair | nmod:poss |
| 4 | hair | hair | NOUN | Number=Sing | 2 had | obj |
| 5 | cut | cut | VERB | Tense=Past VerbForm=Part Voice=Pass | 2 had | xcomp |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | have | past | She | her hair | tree rules | ||||
| 2 | cut | participle | her hair not said here | vn amuse-31.1 «NP V ADV-Middle»: agent=Experiencer |
Option 3 · ✓ the right answer
She had another operation
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 had | nsubj |
| 2 | had | have | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | another | another | DET | PronType=Ind | 4 operation | det |
| 4 | operation | operation | NOUN | Number=Sing | 2 had | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | have | past | She | another operation | vn birth-28.2-1 «NP V NP»: agent=Agent operation=Patient |
Option 4
She was attacked
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 attacked | nsubj:pass |
| 2 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 3 attacked | aux:pass |
| 3 | attacked | attack | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | attack | past · passive | She | vn attack-60.1-1 «NP V NP»: subject=Patient |
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/euphemisms/5-drink-mind-and-body/t7/