---
title: Lily sobs, "I've cried for a MILLION hours since Biscuit died." How… — Olympiad: reading hidden feelings in h… · tree and pragmatics
description: Lily sobs, "I've cried for a MILLION hours since Biscuit died." How many hours should you count? Test 3 · ★★★ of lesson 31 «Olympiad: reading hidden feelings in hard times ★★★» of the reflection course of Mova's primary school, with the dependency tree and pragmatics of the question and of each opti
---

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# Test 3 · ★★★ · Olympiad: reading hidden feelings in hard times ★★★

<!-- .ven lang=en -->
Lily sobs, "I've cried for a MILLION hours since Biscuit died." How many hours should you count?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** Lily, I, Biscuit, many hours · **What happens:** sob, cry, die, count

<!-- .vabout -->
This is test 3 · ★★★ of lesson 31 «Olympiad: reading hidden feelings in hard times ★★★» 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/31-olympiad-reading-hidden-feelings-in-hard-times/#t3).

## The question {#question}

<!-- .note -->
*Sentence 1:* Lily sobs, "I've cried for a MILLION hours since Biscuit died."

```conllu
# sent_id = question:reflection:31-olympiad-reading-hidden-feelings-in-hard-times:t3:1
# text = Lily sobs, "I've cried for a MILLION hours since Biscuit died."
1	Lily	Lily	PROPN	NNP	Number=Sing	2	nsubj	_	_
2	sobs	sob	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	7	punct	_	_
4	"	"	PUNCT	``	_	7	punct	_	SpaceAfter=No
5	I	I	PRON	PRP	Case=Nom|Number=Sing|Person=1|PronType=Prs	7	nsubj	_	SpaceAfter=No
6	've	have	AUX	VBP	Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin	7	aux	_	_
7	cried	cry	VERB	VBN	Tense=Past|VerbForm=Part	2	conj	_	_
8	for	for	ADP	IN	_	11	case	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	10	det	_	_
10	MILLION	million	NUM	CD	NumForm=Word|NumType=Card	11	nummod	_	_
11	hours	hour	NOUN	NNS	Number=Plur	7	obl	_	_
12	since	since	SCONJ	IN	_	14	mark	_	_
13	Biscuit	Biscuit	PROPN	NNP	Number=Sing	14	nsubj	_	_
14	died	die	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	advcl	_	SpaceAfter=No
15	.	.	PUNCT	.	_	2	punct	_	SpaceAfter=No
16	"	"	PUNCT	''	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **sob** | present | Lily |  |  |  |  |  | vn nonverbal\_expression-40.2 «NP V»: agent=Agent |
| 2 | **cry** *speech: express* *in a quote* | present · perfect | I |  |  |  | hour |  | vn manner\_speaking-37.3 «NP V»: agent=Agent |
| 3 | **die** *in a quote* | past | Biscuit |  |  |  |  |  | vn calibratable\_cos-45.6.1 «NP.attribute V»: agent=Attribute |

<!-- .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:* How many hours should you count?

```conllu
# sent_id = question:reflection:31-olympiad-reading-hidden-feelings-in-hard-times:t3:2
# text = How many hours should you count?
1	How	how	ADV	WRB	PronType=Int	2	advmod	_	_
2	many	many	ADJ	JJ	Degree=Pos	3	amod	_	_
3	hours	hour	NOUN	NNS	Number=Plur	6	nsubj	_	_
4	should	should	AUX	MD	VerbForm=Fin	6	aux	_	_
5	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	6	nsubj	_	_
6	count	count	VERB	VB	VerbForm=Inf	0	root	_	SpaceAfter=No
7	?	?	PUNCT	.	_	6	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **count** | should | many hours |  |  |  |  |  | vn matter-91 «NP V»: agent=Stimulus |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
A thousand, because a million is too many

```conllu
# sent_id = question:reflection:31-olympiad-reading-hidden-feelings-in-hard-times:t3:o1:1
# text = A thousand, because a million is too many
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	thousand	thousand	NUM	CD	NumForm=Word|NumType=Card	9	obl	_	SpaceAfter=No
3	,	,	PUNCT	,	_	2	punct	_	_
4	because	because	ADP	IN	ExtPos=ADP	6	case	_	_
5	a	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
6	million	million	NUM	CD	NumForm=Word|NumType=Card	2	nmod	_	_
7	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	9	cop	_	_
8	too	too	ADV	RB	_	9	advmod	_	_
9	many	many	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present |  |  |  |  |  | a thousand because a million *obl*; many *property* | tree rules |

### Option 2 · ✓ the right answer {#o2}

<!-- .ven lang=en -->
None; it just means a lot

```conllu
# sent_id = question:reflection:31-olympiad-reading-hidden-feelings-in-hard-times:t3:o2:1
# text = None; it just means a lot
1	None	none	PRON	NN	PronType=Neg	5	nsubj	_	SpaceAfter=No
2	;	;	PUNCT	:	_	5	punct	_	_
3	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	5	nsubj	_	_
4	just	just	ADV	RB	_	5	advmod	_	_
5	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	lot	lot	NOUN	NN	Number=Sing	5	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **mean** | present | None | a lot |  |  |  |  | vn intend-61.2-1 «NP V NP»: agent=Agent lot=Topic |

### Option 3 {#o3}

<!-- .ven lang=en -->
A million exactly, as she said

```conllu
# sent_id = question:reflection:31-olympiad-reading-hidden-feelings-in-hard-times:t3:o3:1
# text = A million exactly, as she said
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	million	million	NUM	CD	NumForm=Word|NumType=Card	7	obl	_	_
3	exactly	exactly	ADV	RB	_	2	advmod	_	SpaceAfter=No
4	,	,	PUNCT	,	_	7	punct	_	_
5	as	as	SCONJ	IN	_	7	mark	_	_
6	she	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	7	nsubj	_	_
7	said	say	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **say** *speech: assert* | past | she | a million |  |  |  |  | vn say-37.7-1-1 «NP V that S»: agent=Agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
About half a million, since people exaggerate by half

```conllu
# sent_id = question:reflection:31-olympiad-reading-hidden-feelings-in-hard-times:t3:o4:1
# text = About half a million, since people exaggerate by half
1	About	about	ADV	RB	_	4	advmod	_	_
2	half	half	DET	PDT	NumForm=Word|NumType=Frac|PronType=Ind	4	det:predet	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	million	million	NUM	CD	NumForm=Word|NumType=Card	8	nsubj	_	SpaceAfter=No
5	,	,	PUNCT	,	_	8	punct	_	_
6	since	since	SCONJ	IN	_	8	mark	_	_
7	people	people	NOUN	NNS	Number=Plur	8	nsubj	_	_
8	exaggerate	exaggerate	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
9	by	by	ADP	IN	_	10	case	_	_
10	half	half	NOUN	NN	Number=Sing|NumForm=Word|NumType=Frac	8	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **exaggerate** | present | half million |  |  |  |  | by half | 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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- ↑ back to [Olympiad: reading hidden feelings in hard times ★★★](https://md.mova.elamur.ai/free/en/corpora/questions/reflection/31-olympiad-reading-hidden-feelings-in-hard-times/)