---
title: "Bit squiffy after two glasses of wine, are we?" teases a friend. Wh… — Soft words for hard things: drinking a… · tree and pragmatics
description: "Bit squiffy after two glasses of wine, are we?" teases a friend. What is she saying? Test 11 · ★ of lesson 30 «Soft words for hard things: drinking and drugs» of the euphemisms course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice
---

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# Test 11 · ★ · Soft words for hard things: drinking and drugs

<!-- .ven lang=en -->
"Bit squiffy after two glasses of wine, are we?" teases a friend. What is she saying?

<!-- .vintro -->
**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

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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](https://md.mova.elamur.ai/free/en/school-run/euphemisms/30-drinking-and-drugs/#t11).

## The question {#question}

<!-- .note -->
*Sentence 1:* "Bit squiffy after two glasses of wine, are we?" teases a friend.

```conllu
# sent_id = question:euphemisms:30-drinking-and-drugs:t11:1
# text = "Bit squiffy after two glasses of wine, are we?" teases a friend.
1	"	"	PUNCT	``	_	3	punct	_	SpaceAfter=No
2	Bit	bit	NOUN	NN	Number=Sing	3	obl:unmarked	_	_
3	squiffy	squiffy	ADJ	JJ	Degree=Pos	14	nsubj	_	_
4	after	after	ADP	IN	_	6	case	_	_
5	two	two	NUM	CD	NumForm=Word|NumType=Card	6	nummod	_	_
6	glasses	glass	NOUN	NNS	Number=Plur	3	obl	_	_
7	of	of	ADP	IN	_	8	case	_	_
8	wine	wine	NOUN	NN	Number=Sing	6	nmod	_	SpaceAfter=No
9	,	,	PUNCT	,	_	3	punct	_	_
10	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
11	we	we	PRON	PRP	Case=Nom|Number=Plur|Person=1|PronType=Prs	3	obj	_	SpaceAfter=No
12	?	?	PUNCT	.	_	3	punct	_	SpaceAfter=No
13	"	"	PUNCT	''	_	3	punct	_	_
14	teases	tease	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
15	a	a	DET	DT	Definite=Ind|PronType=Art	16	det	_	_
16	friend	friend	NOUN	NN	Number=Sing	14	obj	_	SpaceAfter=No
17	.	.	PUNCT	.	_	14	punct	_	_
```

<!-- .fr -->
| # | 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 |

<!-- .note -->
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.

<!-- .note -->
*Sentence 2:* What is she saying?

```conllu
# sent_id = question:euphemisms:30-drinking-and-drugs:t11:2
# text = What is she saying?
1	What	what	PRON	WP	PronType=Int	4	obj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux	_	_
3	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
4	saying	say	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	SpaceAfter=No
5	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | 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 {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
You are not drunk at all

```conllu
# sent_id = question:euphemisms:30-drinking-and-drugs:t11:o1:1
# text = You are not drunk at all
1	You	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	4	aux:pass	_	_
3	not	not	PART	RB	Polarity=Neg	4	advmod	_	_
4	drunk	drink	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	at	at	ADP	IN	_	6	case	_	_
6	all	all	DET	DT	PronType=Tot	4	obl	_	_
```

<!-- .fr -->
| # | 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 {#o2}

<!-- .ven lang=en -->
You are very drunk

```conllu
# sent_id = question:euphemisms:30-drinking-and-drugs:t11:o2:1
# text = You are very drunk
1	You	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	very	very	ADV	RB	_	4	advmod	_	_
4	drunk	drunk	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | You |  |  |  |  | drunk *property* | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
You are cold

```conllu
# sent_id = question:euphemisms:30-drinking-and-drugs:t11:o3:1
# text = You are cold
1	You	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	cold	cold	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | 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 {#o4}

<!-- .ven lang=en -->
You are slightly drunk

```conllu
# sent_id = question:euphemisms:30-drinking-and-drugs:t11:o4:1
# text = You are slightly drunk
1	You	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	4	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	slightly	slightly	ADV	RB	_	4	advmod	_	_
4	drunk	drunk	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | You |  |  |  |  | drunk, slightly *property* | tree rules |

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**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.

<!-- /div -->

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- ← previous: [Soft words for hard things: drinking a…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/t10/)
- next →: [Soft words for hard things: drinking a…, test 12](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/t12/)
- ↑ back to [Soft words for hard things: drinking and drugs](https://md.mova.elamur.ai/free/en/corpora/questions/euphemisms/30-drinking-and-drugs/)

