---
title: Looking back: what did Tegumai pay the Stranger-man for the mud? — Just So Stories, How the Alphabet Was… · tree and pragmatics
description: Looking back: what did Tegumai pay the Stranger-man for the mud? Test 11 · ★★ of lesson 88 «Just So Stories, How the Alphabet Was Made, part 2: yo, so, sho, shi, and shu-ya, the sky-water» of the books course of Mova's primary school, with the dependency tree and pragmatics of the question and of ea
---

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# Test 11 · ★★ · Just So Stories, How the Alphabet Was Made, part 2: yo, so…

<!-- .ven lang=en -->
Looking back: what did Tegumai pay the Stranger-man for the mud?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 4 · wrong ✗ · **Who acts:** Tegumai · **What happens:** look back, pay · **To what, where:** Stranger man

<!-- .vabout -->
This is test 11 · ★★ of lesson 88 «Just So Stories, How the Alphabet Was Made, part 2: yo, so, sho, shi, and shu-ya, the sky-water» 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/88-justso-alphabet-2-shu-ya-sky-water/#t11).

## The question {#question}

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t11:1
# text = Looking back: what did Tegumai pay the Stranger-man for the mud?
1	Looking	look	VERB	VBG	Tense=Pres|VerbForm=Part	0	root	_	_
2	back	back	ADV	RB	_	1	advmod	_	SpaceAfter=No
3	:	:	PUNCT	:	_	7	punct	_	_
4	what	what	PRON	WP	PronType=Int	7	obj	_	_
5	did	do	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	aux	_	_
6	Tegumai	Tegumai	PROPN	NNP	Number=Sing	7	nsubj	_	_
7	pay	pay	VERB	VB	VerbForm=Inf	1	conj	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
9	Stranger	stranger	NOUN	NN	Number=Sing	11	compound	_	SpaceAfter=No
10	-	-	PUNCT	HYPH	_	9	punct	_	SpaceAfter=No
11	man	man	NOUN	NN	Number=Sing	7	iobj	_	_
12	for	for	ADP	IN	_	14	case	_	_
13	the	the	DET	DT	Definite=Def|PronType=Art	14	det	_	_
14	mud	mud	NOUN	NN	Number=Sing	7	obl	_	SpaceAfter=No
15	?	?	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **look back** | gerund |  |  |  |  |  |  | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |
| 2 | **pay** | past · do-support | Tegumai |  | the Stranger man |  |  | for the mud | vn pay-68-1 «NP V NP NP PP.theme»: agent=Agent man=Recipient what=Asset for mud=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 {#o1}

<!-- .ven lang=en -->
Two skins

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t11:o1:1
# text = Two skins
1	Two	two	NUM	CD	NumForm=Word|NumType=Card	2	nummod	_	_
2	skins	skin	NOUN	NNS	Number=Plur	0	root	_	_
```

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

### Option 2 {#o2}

<!-- .ven lang=en -->
Three bundles of dried meat

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t11:o2:1
# text = Three bundles of dried meat
1	Three	three	NUM	CD	NumForm=Word|NumType=Card	2	nummod	_	_
2	bundles	bundle	NOUN	NNS	Number=Plur	0	root	_	_
3	of	of	ADP	IN	_	5	case	_	_
4	dried	dry	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	5	amod	_	_
5	meat	meat	NOUN	NN	Number=Sing	2	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **dry** | participle |  |  |  |  |  |  | vn other\_cos-45.4-1 «NP.patient V»: agent=Patient |

### Option 3 · ← Mova's choice {#o3}

<!-- .ven lang=en -->
One soft beaver-skin hood

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t11:o3:1
# text = One soft beaver-skin hood
1	One	one	NUM	CD	NumForm=Word|NumType=Card	0	root	_	_
2	soft	soft	ADJ	JJ	Degree=Pos	6	amod	_	_
3	beaver	beaver	NOUN	NN	Number=Sing	5	compound	_	SpaceAfter=No
4	-	-	PUNCT	HYPH	_	3	punct	_	SpaceAfter=No
5	skin	skin	NOUN	NN	Number=Sing	6	compound	_	_
6	hood	hood	NOUN	NN	Number=Sing	1	nmod	_	_
```

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

### Option 4 · ✓ the right answer {#o4}

<!-- .ven lang=en -->
Two soft deerskins with fringes

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t11:o4:1
# text = Two soft deerskins with fringes
1	Two	two	NUM	CD	NumForm=Word|NumType=Card	3	nummod	_	_
2	soft	soft	ADJ	JJ	Degree=Pos	3	amod	_	_
3	deerskins	deerskin	NOUN	NNS	Number=Plur	0	root	_	_
4	with	with	ADP	IN	_	5	case	_	_
5	fringes	fringe	NOUN	NNS	Number=Plur	3	nmod	_	_
```

<!-- .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.

<!-- /div -->

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- ← previous: [Just So Stories, How the Alphabet Was…, test 10](https://md.mova.elamur.ai/free/en/corpora/questions/books/88-justso-alphabet-2-shu-ya-sky-water/t10/)
- next →: [Just So Stories, How the Alphabet Was…, test 12](https://md.mova.elamur.ai/free/en/corpora/questions/books/88-justso-alphabet-2-shu-ya-sky-water/t12/)
- ↑ back to [Just So Stories, How the Alphabet Was Made, part 2: yo, so, sho, shi, and shu-ya, the sky-water](https://md.mova.elamur.ai/free/en/corpora/questions/books/88-justso-alphabet-2-shu-ya-sky-water/)