---
title: It was Ella's name and Ella's picture, but it did not sound like Ell… — «Free V-bucks» and other scams · tree and pragmatics
description: It was Ella's name and Ella's picture, but it did not sound like Ella, who always uses ten emojis. Who acts: code, Ella. A sentence of the lesson ««Free V-bucks» and other scams» of the everyday course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# «Free V-bucks» and other scams, sentence 17

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It was Ella's name and Ella's picture, but it did not sound like Ella, who always uses ten emojis.

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**Who acts:** code, Ella · **What happens:** be, not sound, use · **To what, where:** name, ten emojis

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This is a sentence of the lesson ««Free V-bucks» and other scams» of the everyday course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (code, Ella), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:everyday:416-free-v-bucks-and-other-scams.lesson:17
# text = It was Ella's name and Ella's picture, but it did not sound like Ella, who always uses ten emojis.
# source = school lesson (ours)
# course = everyday
# lesson = 416-free-v-bucks-and-other-scams.lesson
# annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): no change
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	5	nsubj	_	_
2	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	5	cop	_	_
3	Ella	Ella	PROPN	NNP	Number=Sing	5	nmod:poss	_	_
4	's	's	PART	POS	_	3	case	_	_
5	name	name	NOUN	NN	Number=Sing	0	root	_	_
6	and	and	CCONJ	CC	_	9	cc	_	_
7	Ella	Ella	PROPN	NNP	Number=Sing	9	nmod:poss	_	_
8	's	's	PART	POS	_	7	case	_	_
9	picture	picture	NOUN	NN	Number=Sing	5	conj	_	_
10	,	,	PUNCT	,	_	15	punct	_	_
11	but	but	CCONJ	CC	_	15	cc	_	_
12	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	15	nsubj	_	_
13	did	do	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	15	aux	_	_
14	not	not	PART	RB	Polarity=Neg	15	advmod	_	_
15	sound	sound	VERB	VB	VerbForm=Inf	5	parataxis	_	_
16	like	like	ADP	IN	_	17	case	_	_
17	Ella	Ella	PROPN	NNP	Number=Sing	15	obl	_	_
18	,	,	PUNCT	,	_	15	punct	_	_
19	who	who	PRON	WP	PronType=Rel	21	nsubj	_	_
20	always	always	ADV	RB	_	21	advmod	_	_
21	uses	use	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	17	acl:relcl	_	_
22	ten	ten	NUM	CD	NumForm=Word|NumType=Card	23	nummod	_	_
23	emojis	emoji	NOUN	NNS	Number=Plur	21	obj	_	_
24	.	.	PUNCT	.	_	5	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: narrate
- voice: narrator
- polarity: none
- teacher: kept the draft

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | past | code | Ella's name and Ella's picture |  |  |  |  | tree rules |
| 2 | **not** **sound** | past · do-support | code |  |  |  |  | like Ella | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus |
| 3 | **use** | present | Ella | ten emojis |  |  |  | always *property* | vn eat-39.1 «NP V NP»: agent=Agent emoji=Patient |

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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.

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**Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:everyday:416-free-v-bucks-and-other-scams.lesson:17`.

**The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): no change. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/).

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