---
title: Looking back: which earlier character said one word, «Humph!», and g… — Just So Stories, How the Alphabet Was… · tree and pragmatics
description: Looking back: which earlier character said one word, «Humph!», and got something on his back for it? Test 13 · ★★ 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 
---

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# Test 13 · ★★ · Just So Stories, How the Alphabet Was Made, part 2: yo, so…

<!-- .ven lang=en -->
Looking back: which earlier character said one word, «Humph!», and got something on his back for it?

<!-- .vintro -->
**Mova's choice:** option 1 · **The right answer:** option 2 · wrong ✗ · **Who acts:** earlier character · **What happens:** look back, say, get · **To what, where:** one word, something, back · **Speech:** someone speaks here

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This is test 13 · ★★ 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/#t13).

## The question {#question}

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t13:1
# text = Looking back: which earlier character said one word, «Humph!», and got something on his back for it?
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	which	which	PRON	WDT	PronType=Rel	7	obj	_	_
5	earlier	early	ADJ	JJR	Degree=Cmp	6	amod	_	_
6	character	character	NOUN	NN	Number=Sing	7	nsubj	_	_
7	said	say	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	1	parataxis	_	_
8	one	one	NUM	CD	NumForm=Word|NumType=Card	9	nummod	_	_
9	word	word	NOUN	NN	Number=Sing	7	obj	_	SpaceAfter=No
10	,	,	PUNCT	,	_	12	punct	_	_
11	«	«	PUNCT	``	_	12	punct	_	SpaceAfter=No
12	Humph	Humph	PROPN	NNP	Number=Sing	9	appos	_	SpaceAfter=No
13	!	!	PUNCT	.	_	12	punct	_	SpaceAfter=No
14	»	»	PUNCT	''	_	12	punct	_	SpaceAfter=No
15	,	,	PUNCT	,	_	17	punct	_	_
16	and	and	CCONJ	CC	_	17	cc	_	_
17	got	get	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	7	conj	_	_
18	something	something	PRON	NN	Number=Sing|PronType=Ind	17	obj	_	_
19	on	on	ADP	IN	_	21	case	_	_
20	his	his	PRON	PRP$	Case=Gen|Gender=Masc|Number=Sing|Person=3|Poss=Yes|PronType=Prs	21	nmod:poss	_	_
21	back	back	NOUN	NN	Number=Sing	17	obl	_	_
22	for	for	ADP	IN	_	23	case	_	_
23	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	17	obl	_	SpaceAfter=No
24	?	?	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 | **say** *speech: assert* | past | earlier character | one word |  |  |  |  | vn pronounce-29.3.1 «NP V NP NP»: agent=Agent which=Theme word=Manner |
| 3 | **get** | past | earlier character *not said here* | something |  | character's back |  | for back | vn get-13.5.1-1 «NP V NP PP.source»: agent=Agent something=Theme on back=Source |

<!-- .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 -->
Cat

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t13:o1:1
# text = Cat
1	Cat	cat	NOUN	NN	Number=Sing	0	root	_	_
```

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

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

<!-- .ven lang=en -->
The Camel

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t13:o2:1
# text = The Camel
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	Camel	camel	NOUN	NN	Number=Sing	0	root	_	_
```

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

### Option 3 {#o3}

<!-- .ven lang=en -->
The Parrot

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t13:o3:1
# text = The Parrot
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	Parrot	parrot	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 Donkey

```conllu
# sent_id = question:books:88-justso-alphabet-2-shu-ya-sky-water:t13:o4:1
# text = The Donkey
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	Donkey	donkey	NOUN	NN	Number=Sing	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.

<!-- /div -->

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- ← previous: [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/)
- next →: [Just So Stories, How the Alphabet Was…, test 14](https://md.mova.elamur.ai/free/en/corpora/questions/books/88-justso-alphabet-2-shu-ya-sky-water/t14/)
- ↑ 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/)

