Test 11 · ★ · Soft words for hard things: drinking and drugs
"Bit squiffy after two glasses of wine, are we?" teases a friend. What is she saying?
Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: squiffy · What happens: be, tease, say · To what, where: friend · Speech: someone speaks here
This is test 11 · ★ of lesson 30 «Soft words for hard things: drinking and drugs» 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: "Bit squiffy after two glasses of wine, are we?" teases a friend.
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | " | " | PUNCT | _ | 3 squiffy | punct |
| 2 | Bit | bit | NOUN | Number=Sing | 3 squiffy | obl:unmarked |
| 3 | squiffy | squiffy | ADJ | Degree=Pos | 14 teases | nsubj |
| 4 | after | after | ADP | _ | 6 glasses | case |
| 5 | two | two | NUM | NumForm=Word NumType=Card | 6 glasses | nummod |
| 6 | glasses | glass | NOUN | Number=Plur | 3 squiffy | obl |
| 7 | of | of | ADP | _ | 8 wine | case |
| 8 | wine | wine | NOUN | Number=Sing | 6 glasses | nmod |
| 9 | , | , | PUNCT | _ | 3 squiffy | punct |
| 10 | are | be | AUX | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 3 squiffy | cop |
| 11 | we | we | PRON | Case=Nom Number=Plur Person=1 PronType=Prs | 3 squiffy | obj |
| 12 | ? | ? | PUNCT | _ | 3 squiffy | punct |
| 13 | " | " | PUNCT | _ | 3 squiffy | punct |
| 14 | teases | tease | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 15 | a | a | DET | Definite=Ind PronType=Art | 16 friend | det |
| 16 | friend | friend | NOUN | Number=Sing | 14 teases | obj |
| 17 | . | . | PUNCT | _ | 14 teases | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is in a quote | present | after two glasses of wine | Bit obl:unmarked; squiffy property | tree rules | ||||
| 2 | tease | present | squiffy | a friend | vn bully-59.5 «NP V NP»: agent=Agent friend=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.
Sentence 2: What is she saying?
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | What | what | PRON | PronType=Int | 4 saying | obj |
| 2 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 4 saying | aux |
| 3 | she | she | PRON | Case=Nom Gender=Fem Number=Sing Person=3 PronType=Prs | 4 saying | nsubj |
| 4 | saying | say | VERB | Tense=Pres VerbForm=Part | root | root |
| 5 | ? | ? | PUNCT | _ | 4 saying | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | say speech: assert | present · progressive | squiffy | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic |
The options
Option 1 · ← Mova's choice
You are not drunk at all
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | You | you | PRON | Case=Nom Person=2 PronType=Prs | 4 drunk | nsubj |
| 2 | are | be | AUX | Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin | 4 drunk | aux:pass |
| 3 | not | not | PART | Polarity=Neg | 4 drunk | advmod |
| 4 | drunk | drink | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 5 | at | at | ADP | _ | 6 all | case |
| 6 | all | all | DET | PronType=Tot | 4 drunk | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | not drink | present · passive | You | all | vn eat-39.1-1 «NP V NP»: subject=Patient |
Option 2
You are very drunk
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | You | you | PRON | Case=Nom Person=2 PronType=Prs | 4 drunk | nsubj |
| 2 | are | be | AUX | Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin | 4 drunk | cop |
| 3 | very | very | ADV | _ | 4 drunk | advmod |
| 4 | drunk | drunk | ADJ | Degree=Pos | root | root |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | You | drunk property | tree rules |
Option 3
You are cold
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | You | you | PRON | Case=Nom Person=2 PronType=Prs | 3 cold | nsubj |
| 2 | are | be | AUX | Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin | 3 cold | cop |
| 3 | cold | cold | ADJ | Degree=Pos | root | root |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | You | cold property | tree rules |
Option 4 · ✓ the right answer
You are slightly drunk
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | You | you | PRON | Case=Nom Person=2 PronType=Prs | 4 drunk | nsubj |
| 2 | are | be | AUX | Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin | 4 drunk | cop |
| 3 | slightly | slightly | ADV | _ | 4 drunk | advmod |
| 4 | drunk | drunk | ADJ | Degree=Pos | root | root |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | You | drunk, slightly property | tree rules |
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/30-drinking-and-drugs/t11/