---
title: Lexi, salty (jealous) like Toad: «Badger's got favourites now, Mole… — The Wind in the Willows, chapter XI, p… · tree and pragmatics
description: Lexi, salty (jealous) like Toad: «Badger's got favourites now, Mole ate (did brilliantly) for nothing.» What does Badger value in Mole? Test 4 · ★★★ of lesson 69 «The Wind in the Willows, chapter XI, part 5: «Like Summer Tempests Came His Tears» (Mole the washerwoman and the badgers that never were)
---

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# Test 4 · ★★★ · The Wind in the Willows, chapter XI, part 5: «Like Summer…

<!-- .ven lang=en -->
Lexi, salty (jealous) like Toad: «Badger's got favourites now, Mole ate (did brilliantly) for nothing.» What does Badger value in Mole?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 1 · right ✓ · **Who acts:** Badger, Mole · **What happens:** get, eat, do, value · **To what, where:** favourites, Mole

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This is test 4 · ★★★ of lesson 69 «The Wind in the Willows, chapter XI, part 5: «Like Summer Tempests Came His Tears» (Mole the washerwoman and the badgers that never were)» of the books 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/books/69-willows-ch11-part5-clever-mole/#t4).

## The question {#question}

<!-- .note -->
*Sentence 1:* Lexi, salty (jealous) like Toad: «Badger's got favourites now, Mole ate (did brilliantly) for nothing.»

```conllu
# sent_id = question:books:69-willows-ch11-part5-clever-mole:t4:1
# text = Lexi, salty (jealous) like Toad: «Badger's got favourites now, Mole ate (did brilliantly) for nothing.»
1	Lexi	Lexi	PROPN	NNP	Number=Sing	5	nsubj	_	SpaceAfter=No
2	,	,	PUNCT	,	_	3	punct	_	_
3	salty	salty	ADJ	JJ	Degree=Pos	1	appos	_	_
4	(	(	PUNCT	-LRB-	_	5	punct	_	SpaceAfter=No
5	jealous	jealous	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
6	)	)	PUNCT	-RRB-	_	5	punct	_	_
7	like	like	ADP	IN	_	8	case	_	_
8	Toad	Toad	PROPN	NNP	Number=Sing	5	nmod	_	SpaceAfter=No
9	:	:	PUNCT	:	_	13	punct	_	_
10	«	«	PUNCT	``	_	13	punct	_	SpaceAfter=No
11	Badger	Badger	PROPN	NNP	Number=Sing	13	nsubj	_	SpaceAfter=No
12	's	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	13	aux	_	_
13	got	get	VERB	VBN	Tense=Past|VerbForm=Part	5	parataxis	_	_
14	favourites	favourite	NOUN	NNS	Number=Plur	13	obj	_	_
15	now	now	ADV	RB	PronType=Dem	13	advmod	_	SpaceAfter=No
16	,	,	PUNCT	,	_	18	punct	_	_
17	Mole	Mole	PROPN	NNP	Number=Sing	18	nsubj	_	_
18	ate	eat	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	13	parataxis	_	_
19	(	(	PUNCT	-LRB-	_	20	punct	_	SpaceAfter=No
20	did	do	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	18	conj	_	_
21	brilliantly	brilliantly	ADV	RB	_	20	advmod	_	SpaceAfter=No
22	)	)	PUNCT	-RRB-	_	18	punct	_	_
23	for	for	ADP	IN	_	24	case	_	_
24	nothing	nothing	PRON	NN	Number=Sing|PronType=Neg	18	obl	_	SpaceAfter=No
25	.	.	PUNCT	.	_	5	punct	_	SpaceAfter=No
26	»	»	PUNCT	''	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **get** *in a quote* | present · passive | Badger | favourites |  |  | now |  | vn comprehend-87.2-1 «NP V NP»: agent=Experiencer favourite=Stimulus |
| 2 | **eat** *in a quote* | past | Mole |  |  |  |  | for nothing | vn eat-39.1-1 «NP V»: agent=Agent |
| 3 | **do** *in a quote* | past | Mole *not said here* |  |  |  |  | brilliantly *property* | vn act-114-1 «NP V»: agent=Agent |

<!-- .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 does Badger value in Mole?

```conllu
# sent_id = question:books:69-willows-ch11-part5-clever-mole:t4:2
# text = What does Badger value in Mole?
1	What	what	PRON	WP	PronType=Int	4	obj	_	_
2	does	do	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux	_	_
3	Badger	Badger	PROPN	NNP	Number=Sing	4	nsubj	_	_
4	value	value	VERB	VB	VerbForm=Inf	0	root	_	_
5	in	in	ADP	IN	_	6	case	_	_
6	Mole	Mole	PROPN	NNP	Number=Sing	4	obl	_	SpaceAfter=No
7	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **value** | present · do-support | Badger |  |  | Mole |  |  | vn admire-31.2 «NP V NP»: agent=Experiencer what=Stimulus |

## The options {#options}

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

<!-- .ven lang=en -->
Good sense

```conllu
# sent_id = question:books:69-willows-ch11-part5-clever-mole:t4:o1:1
# text = Good sense
1	Good	good	ADJ	JJ	Degree=Pos	2	amod	_	_
2	sense	sense	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 2 {#o2}

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

```conllu
# sent_id = question:books:69-willows-ch11-part5-clever-mole:t4:o2:1
# text = Fun
1	Fun	fun	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 3 {#o3}

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

```conllu
# sent_id = question:books:69-willows-ch11-part5-clever-mole:t4:o3:1
# text = Sport
1	Sport	sport	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
Strong legs

```conllu
# sent_id = question:books:69-willows-ch11-part5-clever-mole:t4:o4:1
# text = Strong legs
1	Strong	strong	ADJ	JJ	Degree=Pos	2	amod	_	_
2	legs	leg	NOUN	NNS	Number=Plur	0	root	_	_
```

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

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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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