---
title: Given that a character smiles whilst her eyes remain sad, select the… — Inference: reading between the lines · tree and pragmatics
description: Given that a character smiles whilst her eyes remain sad, select the response consistent with the evidence. Exam question 4 of lesson 18 «Inference: reading between the lines» of the English course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; 
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/e4/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [English](https://md.mova.elamur.ai/free/en/corpora/questions/english/) / [Inference: reading between the lines](https://md.mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/) / e4

# Exam question 4 · Inference: reading between the lines

<!-- .ven lang=en -->
Given that a character smiles whilst her eyes remain sad, select the response consistent with the evidence.

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** character, eyes · **What happens:** give, smile, remain, select · **To what, where:** response

<!-- .vabout -->
This is exam question 4 of lesson 18 «Inference: reading between the lines» 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/18-inference-reading-between-the-lines/#e4).

## The question {#question}

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:e4:1
# text = Given that a character smiles whilst her eyes remain sad, select the response consistent with the evidence.
1	Given	give	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	5	advcl	_	_
2	that	that	SCONJ	IN	_	5	mark	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	character	character	NOUN	NN	Number=Sing	5	nsubj	_	_
5	smiles	smile	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
6	whilst	whilst	SCONJ	IN	_	9	mark	_	_
7	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	8	nmod:poss	_	_
8	eyes	eye	NOUN	NNS	Number=Plur	9	nsubj	_	_
9	remain	remain	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	5	ccomp	_	_
10	sad	sad	ADJ	JJ	Degree=Pos	9	xcomp	_	SpaceAfter=No
11	,	,	PUNCT	,	_	12	punct	_	_
12	select	select	VERB	VB	VerbForm=Inf	9	conj	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	response	response	NOUN	NN	Number=Sing	12	obj	_	_
15	consistent	consistent	ADJ	JJ	Degree=Pos	14	amod	_	_
16	with	with	ADP	IN	_	18	case	_	_
17	the	the	DET	DT	Definite=Def|PronType=Art	18	det	_	_
18	evidence	evidence	NOUN	NN	Number=Sing	15	obl	_	SpaceAfter=No
19	.	.	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **give** | participle | a character *not said here* |  |  |  |  |  | vn break\_down-45.8 «NP V»: agent=Patient |
| 2 | **smile** | present | a character |  |  |  |  |  | vn manner\_speaking-37.3 «NP V that S»: agent=Agent clause=Topic |
| 3 | **remain** | present | character's eyes |  |  |  |  | sad *property* | vn exist-47.1 «NP V»: agent=Theme |
| 4 | **select** | infinitive | character's eyes *not said here* | the response |  |  |  |  | vn obtain-13.5.2 «NP V NP»: agent=Agent response=Theme |

<!-- .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 · ✓ the right answer {#o1}

<!-- .ven lang=en -->
She conceals an unhappy feeling behind an outward smile

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:e4:o1:1
# text = She conceals an unhappy feeling behind an outward smile
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	2	nsubj	_	_
2	conceals	conceal	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	an	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	unhappy	unhappy	ADJ	JJ	Degree=Pos	5	amod	_	_
5	feeling	feeling	NOUN	NN	Number=Sing	2	obj	_	_
6	behind	behind	ADP	IN	_	9	case	_	_
7	an	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	outward	outward	ADJ	JJ	Degree=Pos	9	amod	_	_
9	smile	smile	NOUN	NN	Number=Sing	2	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **conceal** | present | She | a unhappy feeling |  | a outward smile |  |  | vn concealment-16 «NP V NP PP.location»: agent=Agent feeling=Patient behind smile=Location |

### Option 2 {#o2}

<!-- .ven lang=en -->
She is wholly content

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:e4:o2:1
# text = She is wholly content
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	4	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
3	wholly	wholly	ADV	RB	_	4	advmod	_	_
4	content	content	ADJ	JJ	Degree=Pos	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
She is unable to see clearly owing to bright sunlight

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:e4:o3:1
# text = She is unable to see clearly owing to bright sunlight
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	unable	unable	ADJ	JJ	Degree=Pos	0	root	_	_
4	to	to	PART	TO	_	5	mark	_	_
5	see	see	VERB	VB	VerbForm=Inf	3	xcomp	_	_
6	clearly	clearly	ADV	RB	_	5	advmod	_	_
7	owing	owe	VERB	VBG	VerbForm=Ger	5	xcomp	_	_
8	to	to	ADP	IN	_	10	case	_	_
9	bright	bright	ADJ	JJ	Degree=Pos	10	amod	_	_
10	sunlight	sunlight	NOUN	NN	Number=Sing	7	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | She |  |  |  |  | unable *property* | tree rules |
| 2 | **see** | to-infinitive | She *not said here* |  |  |  |  | clearly *property* | vn comprehend-87.2-1-1 «NP V S\_ING»: agent=Experiencer clause=Stimulus |
| 3 | **owe** | gerund | She *not said here* |  |  |  |  | to bright sunlight *goal* | vn future\_having-13.3 «NP V NP PP.goal»: agent=Agent to sunlight=Goal |

### Option 4 {#o4}

<!-- .ven lang=en -->
She is angry

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:e4:o4:1
# text = She is angry
1	She	she	PRON	PRP	Case=Nom|Gender=Fem|Number=Sing|Person=3|PronType=Prs	3	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	angry	angry	ADJ	JJ	Degree=Pos	0	root	_	_
```

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

<!-- div src -->

**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 -->

<!-- pn -->
- ← previous: [Inference: reading between the lines, exam 3](https://md.mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/e3/)
- next →: [Prediction: what happens next, test 1](https://md.mova.elamur.ai/free/en/corpora/questions/english/19-prediction-what-happens-next/t1/)
- ↑ back to [Inference: reading between the lines](https://md.mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/)