---
title: Whereas a table records twelve degrees for Monday and fifteen degree… — Retrieval: finding the answer in the t… · tree and pragmatics
description: Whereas a table records twelve degrees for Monday and fifteen degrees for Tuesday, determine which day was the warmer. Exam question 4 of lesson 17 «Retrieval: finding the answer in the text» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and 
---

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# Exam question 4 · Retrieval: finding the answer in the text

<!-- .ven lang=en -->
Whereas a table records twelve degrees for Monday and fifteen degrees for Tuesday, determine which day was the warmer.

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** day · **What happens:** record, determine, be · **To what, where:** twelve degrees

<!-- .vabout -->
This is exam question 4 of lesson 17 «Retrieval: finding the answer in the text» of the English course of Mova's primary school, asked in stiff, formal language. 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/english/17-retrieval-finding-the-answer-in-the-text/#e4).

## The question {#question}

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:e4:1
# text = Whereas a table records twelve degrees for Monday and fifteen degrees for Tuesday, determine which day was the warmer.
1	Whereas	whereas	SCONJ	IN	_	3	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	table	table	NOUN	NN	Number=Sing	4	obl	_	_
4	records	record	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	twelve	twelve	NUM	CD	NumForm=Word|NumType=Card	6	nummod	_	_
6	degrees	degree	NOUN	NNS	Number=Plur	4	obj	_	_
7	for	for	ADP	IN	_	8	case	_	_
8	Monday	Monday	PROPN	NNP	Number=Sing	4	obl	_	_
9	and	and	CCONJ	CC	_	11	cc	_	_
10	fifteen	fifteen	NUM	CD	NumForm=Word|NumType=Card	11	nummod	_	_
11	degrees	degree	NOUN	NNS	Number=Plur	8	conj	_	_
12	for	for	ADP	IN	_	13	case	_	_
13	Tuesday	Tuesday	PROPN	NNP	Number=Sing	11	nmod	_	SpaceAfter=No
14	,	,	PUNCT	,	_	15	punct	_	_
15	determine	determine	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	conj	_	_
16	which	which	DET	WDT	PronType=Int	17	det	_	_
17	day	day	NOUN	NN	Number=Sing	20	nsubj	_	_
18	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	20	cop	_	_
19	the	the	DET	DT	Definite=Def|PronType=Art	20	det	_	_
20	warmer	warm	ADJ	JJR	Degree=Cmp	15	ccomp	_	SpaceAfter=No
21	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **record** | present |  | twelve degrees |  |  | monday | whereas a table | vn scribble-25.2-1 «NP V NP»: agent=Agent degree=Theme |
| 2 | **determine** | present |  |  |  |  |  |  | vn conjecture-29.5 «NP V that S»: agent=Agent |
| 3 | **is** | past | which day |  |  |  |  | warm *property* | tree rules |

<!-- .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.

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

<!-- .ven lang=en -->
Monday

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:e4:o1:1
# text = Monday
1	Monday	Monday	PROPN	NNP	Number=Sing	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

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

<!-- .ven lang=en -->
Tuesday

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:e4:o2:1
# text = Tuesday
1	Tuesday	Tuesday	PROPN	NNP	Number=Sing	0	root	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

### Option 3 {#o3}

<!-- .ven lang=en -->
Neither, the temperatures being equal

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:e4:o3:1
# text = Neither, the temperatures being equal
1	Neither	neither	ADV	RB	_	6	advmod	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	temperatures	temperature	NOUN	NNS	Number=Plur	6	nsubj	_	_
5	being	be	AUX	VBG	Tense=Pres|VerbForm=Part	6	cop	_	_
6	equal	equal	ADJ	JJ	Degree=Pos	0	root	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | gerund | the temperatures |  |  |  |  | equal, neither *property* | tree rules |

### Option 4 {#o4}

<!-- .ven lang=en -->
Indeterminable from tabulated data

```conllu
# sent_id = question:english:17-retrieval-finding-the-answer-in-the-text:e4:o4:1
# text = Indeterminable from tabulated data
1	Indeterminable	indeterminable	ADJ	JJ	Degree=Pos	0	root	_	_
2	from	from	ADP	IN	_	4	case	_	_
3	tabulated	tabulate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	4	amod	_	_
4	data	data	NOUN	NN	Number=Sing	1	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **tabulate** | participle |  |  |  |  |  |  | vn remedy-45.7 «NP V NP.patient»: agent=Agent |

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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.

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- ← previous: [Retrieval: finding the answer in the t…, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/english/17-retrieval-finding-the-answer-in-the-text/e3/)
- next →: [Inference: reading between the lines, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/t1/)
- ↑ back to [Retrieval: finding the answer in the text](https://md.mova.elamur.ai/free/en/corpora/questions/english/17-retrieval-finding-the-answer-in-the-text/)