---
title: Lass from Leeds says Grace "looked proper mardy after that award." (… — Things I'm ashamed of: crowds, cruelty… · tree and pragmatics
description: Lass from Leeds says Grace "looked proper mardy after that award." ("Mardy" means sulky, grumpy.) Why might Grace be grumpy after winning? Test 6 · ★ of lesson 16 «Things I'm ashamed of: crowds, cruelty and coming clean» of the reflection course of Mova's primary school, with the dependency tree and
---

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# Test 6 · ★ · Things I'm ashamed of: crowds, cruelty and coming clean

<!-- .ven lang=en -->
Lass from Leeds says Grace "looked proper mardy after that award." ("Mardy" means sulky, grumpy.) Why might Grace be grumpy after winning?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** Lass, Grace, Mardy · **What happens:** say, look, mean, be, win · **Speech:** someone speaks here

<!-- .vabout -->
This is test 6 · ★ of lesson 16 «Things I'm ashamed of: crowds, cruelty and coming clean» of the reflection 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/reflection/16-things-im-ashamed-of-crowds-cruelty-and-coming-clean/#t6).

## The question {#question}

<!-- .note -->
*Sentence 1:* Lass from Leeds says Grace "looked proper mardy after that award."

```conllu
# sent_id = question:reflection:16-things-im-ashamed-of-crowds-cruelty-and-coming-clean:t6:1
# text = Lass from Leeds says Grace "looked proper mardy after that award."
1	Lass	lass	NOUN	NN	Number=Sing	4	nsubj	_	_
2	from	from	ADP	IN	_	3	case	_	_
3	Leeds	Leeds	PROPN	NNP	Number=Sing	1	nmod	_	_
4	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	Grace	Grace	PROPN	NNP	Number=Sing	7	nsubj	_	_
6	"	"	PUNCT	``	_	7	punct	_	SpaceAfter=No
7	looked	look	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	ccomp	_	_
8	proper	properly	ADV	RB	_	9	advmod	_	_
9	mardy	mardy	ADJ	JJ	Degree=Pos	7	xcomp	_	_
10	after	after	ADP	IN	_	12	case	_	_
11	that	that	DET	DT	Number=Sing|PronType=Dem	12	det	_	_
12	award	award	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
13	.	.	PUNCT	.	_	4	punct	_	SpaceAfter=No
14	"	"	PUNCT	''	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | present | Lass from Leeds |  |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent clause=Topic |
| 2 | **look** *in a quote* | past | Grace |  |  |  | after that award | mardy *property* | vn stimulus\_subject-30.4 «NP V ADJ»: agent=Stimulus |

<!-- .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:* ("Mardy" means sulky, grumpy.)

```conllu
# sent_id = question:reflection:16-things-im-ashamed-of-crowds-cruelty-and-coming-clean:t6:2
# text = ("Mardy" means sulky, grumpy.)
1	(	(	PUNCT	-LRB-	_	5	punct	_	SpaceAfter=No
2	"	"	PUNCT	``	_	3	punct	_	SpaceAfter=No
3	Mardy	Mardy	PROPN	NNP	Number=Sing	5	nsubj	_	SpaceAfter=No
4	"	"	PUNCT	''	_	3	punct	_	_
5	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	sulky	sulky	ADJ	JJ	Degree=Pos	5	xcomp	_	SpaceAfter=No
7	,	,	PUNCT	,	_	8	punct	_	_
8	grumpy	grumpy	ADJ	JJ	Degree=Pos	6	conj	_	SpaceAfter=No
9	.	.	PUNCT	.	_	5	punct	_	SpaceAfter=No
10	)	)	PUNCT	-RRB-	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present | Mardy |  |  |  |  | sulky *property* | vn intend-61.2-1 «NP V S»: agent=Agent |

<!-- .note -->
*Sentence 3:* Why might Grace be grumpy after winning?

```conllu
# sent_id = question:reflection:16-things-im-ashamed-of-crowds-cruelty-and-coming-clean:t6:3
# text = Why might Grace be grumpy after winning?
1	Why	why	ADV	WRB	PronType=Int	5	advmod	_	_
2	might	might	AUX	MD	VerbForm=Fin	5	aux	_	_
3	Grace	Grace	PROPN	NNP	Number=Sing	5	nsubj	_	_
4	be	be	AUX	VB	VerbForm=Inf	5	cop	_	_
5	grumpy	grumpy	ADJ	JJ	Degree=Pos	0	root	_	_
6	after	after	SCONJ	IN	_	7	mark	_	_
7	winning	win	VERB	VBG	Tense=Pres|VerbForm=Part	5	advcl	_	SpaceAfter=No
8	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | might | Grace |  |  |  |  | grumpy *property* | tree rules |
| 2 | **win** | gerund | Grace *not said here* |  |  |  |  |  | vn succeed-74-2 «NP V»: agent=Agent |

## The options {#options}

### Option 1 · ← Mova's choice · ✓ the right answer {#o1}

<!-- .ven lang=en -->
She felt like a fraud because she hadn't done the reading

```conllu
# sent_id = question:reflection:16-things-im-ashamed-of-crowds-cruelty-and-coming-clean:t6:o1:1
# text = She felt like a fraud because she hadn't done the reading
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	felt	feel	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	like	like	ADP	IN	_	5	case	_	_
4	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
5	fraud	fraud	NOUN	NN	Number=Sing	2	obl	_	_
6	because	because	SCONJ	IN	_	10	mark	_	_
7	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
8	had	have	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	10	aux	_	SpaceAfter=No
9	n't	not	PART	RB	Polarity=Neg	10	advmod	_	_
10	done	do	VERB	VBN	Tense=Past|VerbForm=Part	2	advcl	_	_
11	the	the	DET	DT	Definite=Def|PronType=Art	12	det	_	_
12	reading	reading	NOUN	NN	Number=Sing	10	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **feel** | past | She |  |  |  |  | like a fraud | vn conjecture-29.5-2 «NP V S»: agent=Agent like fraud=Theme |
| 2 | **not** **do** | past · perfect | she | the reading |  |  |  |  | vn act-114-1 «NP V NP»: agent=Agent reading=Eventuality |

### Option 2 {#o2}

<!-- .ven lang=en -->
She thinks reading every night is a waste of time

```conllu
# sent_id = question:reflection:16-things-im-ashamed-of-crowds-cruelty-and-coming-clean:t6:o2:1
# text = She thinks reading every night is a waste of time
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	thinks	think	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	reading	read	VERB	VBG	VerbForm=Ger	8	csubj	_	_
4	every	every	DET	DT	PronType=Tot	5	det	_	_
5	night	night	NOUN	NN	Number=Sing	3	obl:unmarked	_	_
6	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	8	det	_	_
8	waste	waste	NOUN	NN	Number=Sing	2	ccomp	_	_
9	of	of	ADP	IN	_	10	case	_	_
10	time	time	NOUN	NN	Number=Sing	8	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **think** *speech: other* | present | She |  |  |  |  |  | vn focus-87.1-1 «NP V»: agent=Agent |
| 2 | **read** | gerund |  |  |  |  | night |  | vn transfer\_mesg-37.1.1-1 «NP V»: agent=Agent |
| 3 | **is a** | present | reading | a waste |  |  | time |  | tree rules |

### Option 3 {#o3}

<!-- .ven lang=en -->
She wanted a bigger trophy instead of a certificate

```conllu
# sent_id = question:reflection:16-things-im-ashamed-of-crowds-cruelty-and-coming-clean:t6:o3:1
# text = She wanted a bigger trophy instead of a certificate
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	wanted	want	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	bigger	big	ADJ	JJR	Degree=Cmp	5	amod	_	_
5	trophy	trophy	NOUN	NN	Number=Sing	2	obj	_	_
6	instead	instead	ADV	RB	ExtPos=ADP	9	case	_	_
7	of	of	ADP	IN	_	6	fixed	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	certificate	certificate	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **want** | past | She | a bigger trophy |  |  |  | instead a certificate | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot trophy=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
She hates assemblies and everyone clapping at her

```conllu
# sent_id = question:reflection:16-things-im-ashamed-of-crowds-cruelty-and-coming-clean:t6:o4:1
# text = She hates assemblies and everyone clapping at her
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	hates	hate	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	assemblies	assembly	NOUN	NNS	Number=Plur	2	obj	_	_
4	and	and	CCONJ	CC	_	5	cc	_	_
5	everyone	everyone	PRON	NN	Number=Sing|PronType=Tot	3	conj	_	_
6	clapping	clap	VERB	VBG	VerbForm=Ger	3	acl	_	_
7	at	at	ADP	IN	_	8	case	_	_
8	her	she	PRON	PRP	Case=Acc|Gender=Fem|Number=Sing|Person=3|PronType=Prs	6	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **hate** | present | She | assemblies |  |  |  |  | vn admire-31.2-1 «NP V NP»: agent=Experiencer assembly=Stimulus |
| 2 | **clap** | gerund | assemblies *not said here* |  |  |  |  | at her *= she* | vn sound\_emission-43.2 «NP V PP.location»: agent=Theme at she=Location |

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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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- next →: [Things I'm ashamed of: crowds, cruelty…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/reflection/16-things-im-ashamed-of-crowds-cruelty-and-coming-clean/t7/)
- ↑ back to [Things I'm ashamed of: crowds, cruelty and coming clean](https://md.mova.elamur.ai/free/en/corpora/questions/reflection/16-things-im-ashamed-of-crowds-cruelty-and-coming-clean/)

