---
title: Yeah, but how did they soften them, like, with what? — Indian tales, The Jackal and the Panth… · tree and pragmatics
description: Yeah, but how did they soften them, like, with what? Test 4 · ★ of lesson 1163 «Indian tales, The Jackal and the Panther, part 29: the tight shoes and the greyhound in sheep's wool» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of each opti
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/books/1163-pg3027-part29/t4/)

<!-- 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/) / [Books](https://md.mova.elamur.ai/free/en/corpora/questions/books/) / [Indian tales, The Jackal and the Panth…](https://md.mova.elamur.ai/free/en/corpora/questions/books/1163-pg3027-part29/) / t4

# Test 4 · ★ · Indian tales, The Jackal and the Panther, part 29: the tig…

<!-- .ven lang=en -->
Yeah, but how did they soften them, like, with what?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** they · **What happens:** soften · **To what, where:** them

<!-- .vabout -->
This is test 4 · ★ of lesson 1163 «Indian tales, The Jackal and the Panther, part 29: the tight shoes and the greyhound in sheep's wool» 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/1163-pg3027-part29/#t4).

## The question {#question}

```conllu
# sent_id = question:books:1163-pg3027-part29:t4:1
# text = Yeah, but how did they soften them, like, with what?
1	Yeah	yeah	INTJ	UH	_	7	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	7	punct	_	_
3	but	but	CCONJ	CC	_	7	cc	_	_
4	how	how	ADV	WRB	PronType=Int	7	advmod	_	_
5	did	do	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	7	aux	_	_
6	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	7	nsubj	_	_
7	soften	soften	VERB	VB	VerbForm=Inf	0	root	_	_
8	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	7	obj	_	SpaceAfter=No
9	,	,	PUNCT	,	_	10	punct	_	_
10	like	like	INTJ	UH	_	7	discourse	_	SpaceAfter=No
11	,	,	PUNCT	,	_	13	punct	_	_
12	with	with	ADP	IN	_	13	case	_	_
13	what	what	PRON	WP	PronType=Int	7	obj	_	SpaceAfter=No
14	?	?	PUNCT	.	_	7	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **soften** | past · do-support | they | them *= they* |  |  |  |  | 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 -->
they used the lake

```conllu
# sent_id = question:books:1163-pg3027-part29:t4:o1:1
# text = they used the lake
1	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	used	use	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	lake	lake	NOUN	NN	Number=Sing	2	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **use** | past | they | the lake |  |  |  |  | vn eat-39.1 «NP V NP»: agent=Agent lake=Patient |

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

<!-- .ven lang=en -->
water from the spring

```conllu
# sent_id = question:books:1163-pg3027-part29:t4:o2:1
# text = water from the spring
1	water	water	NOUN	NN	Number=Sing	0	root	_	_
2	from	from	ADP	IN	_	4	case	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	spring	spring	NOUN	NN	Number=Sing	1	nmod	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
from the river

```conllu
# sent_id = question:books:1163-pg3027-part29:t4:o3:1
# text = from the river
1	from	from	ADP	IN	_	3	case	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	river	river	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 4 {#o4}

<!-- .ven lang=en -->
the rain, mate

```conllu
# sent_id = question:books:1163-pg3027-part29:t4:o4:1
# text = the rain, mate
1	the	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	rain	rain	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	,	,	PUNCT	,	_	4	punct	_	_
4	mate	mate	NOUN	NN	Number=Sing	2	conj	_	_
```

<!-- .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: [Indian tales, The Jackal and the Panth…, test 3](https://md.mova.elamur.ai/free/en/corpora/questions/books/1163-pg3027-part29/t3/)
- next →: [Indian tales, The Jackal and the Panth…, test 5](https://md.mova.elamur.ai/free/en/corpora/questions/books/1163-pg3027-part29/t5/)
- ↑ back to [Indian tales, The Jackal and the Panther, part 29: the tight shoes and the greyhound in sheep's wool](https://md.mova.elamur.ai/free/en/corpora/questions/books/1163-pg3027-part29/)