---
title: In a cartoon, a character's face turns red and steam comes out of it… — Inference: reading between the lines · tree and pragmatics
description: In a cartoon, a character's face turns red and steam comes out of its ears. What feeling does this show? Test 8 · ★ 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; Mova's c
---

<!-- 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/t8/)

<!-- 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/) / t8

# Test 8 · ★ · Inference: reading between the lines

<!-- .ven lang=en -->
In a cartoon, a character's face turns red and steam comes out of its ears. What feeling does this show?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** face, steam, feeling · **What happens:** turn, come out, show · **To what, where:** cartoon, ears

<!-- .vabout -->
This is test 8 · ★ of lesson 18 «Inference: reading between the lines» of the English 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/english/18-inference-reading-between-the-lines/#t8).

## The question {#question}

<!-- .note -->
*Sentence 1:* In a cartoon, a character's face turns red and steam comes out of its ears.

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:t8:1
# text = In a cartoon, a character's face turns red and steam comes out of its ears.
1	In	in	ADP	IN	_	3	case	_	_
2	a	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
3	cartoon	cartoon	NOUN	NN	Number=Sing	9	obl	_	SpaceAfter=No
4	,	,	PUNCT	,	_	3	punct	_	_
5	a	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
6	character	character	NOUN	NN	Number=Sing	8	nmod:poss	_	SpaceAfter=No
7	's	's	PART	POS	_	6	case	_	_
8	face	face	NOUN	NN	Number=Sing	9	nsubj	_	_
9	turns	turn	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
10	red	red	ADJ	JJ	Degree=Pos	9	xcomp	_	_
11	and	and	CCONJ	CC	_	13	cc	_	_
12	steam	steam	NOUN	NN	Number=Sing	13	nsubj	_	_
13	comes	come	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	9	conj	_	_
14	out	out	ADP	IN	_	17	case	_	_
15	of	of	ADP	IN	_	17	case	_	_
16	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	17	nmod:poss	_	_
17	ears	ear	NOUN	NNS	Number=Plur	13	obl	_	SpaceAfter=No
18	.	.	PUNCT	.	_	9	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **turn** | present | a character's face |  |  | a cartoon |  | red *property* | vn roll-51.3.1 «NP V PP.trajectory»: agent=Theme in cartoon=Trajectory |
| 2 | **come out** | present | steam | steam's ears |  |  |  |  | vn become-109.1 «NP V ADJ»: agent=Patient ear=Result |

<!-- .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 feeling does this show?

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:t8:2
# text = What feeling does this show?
1	What	what	PRON	WP	PronType=Int	5	obj	_	_
2	feeling	feeling	NOUN	NN	Number=Sing	5	nsubj	_	_
3	does	do	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	aux	_	_
4	this	this	PRON	DT	Number=Sing|PronType=Dem	5	nsubj	_	_
5	show	show	VERB	VB	VerbForm=Inf	0	root	_	SpaceAfter=No
6	?	?	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **show** | present · do-support | feeling |  |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent what=Recipient |

## The options {#options}

### Option 1 · ← Mova's choice {#o1}

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

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:t8:o1:1
# text = Cold
1	Cold	cold	ADJ	JJ	Degree=Pos	0	root	_	_
```

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

### Option 2 {#o2}

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

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:t8:o2:1
# text = Boredom
1	Boredom	boredom	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 3 · ✓ the right answer {#o3}

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

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:t8:o3:1
# text = Anger
1	Anger	anger	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
Hunger after missing lunch at school

```conllu
# sent_id = question:english:18-inference-reading-between-the-lines:t8:o4:1
# text = Hunger after missing lunch at school
1	Hunger	hunger	NOUN	NN	Number=Sing	0	root	_	_
2	after	after	ADP	IN	_	4	case	_	_
3	missing	missing	ADJ	JJ	Degree=Pos	4	amod	_	_
4	lunch	lunch	NOUN	NN	Number=Sing	1	nmod	_	_
5	at	at	ADP	IN	_	6	case	_	_
6	school	school	NOUN	NN	Number=Sing	1	nmod	_	_
```

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

<!-- 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, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/t7/)
- next →: [Inference: reading between the lines, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/t9/)
- ↑ back to [Inference: reading between the lines](https://md.mova.elamur.ai/free/en/corpora/questions/english/18-inference-reading-between-the-lines/)