---
title: Big claims like "all of them" or "millions flooding in" are worth ch… — Immigration and borders · tree and pragmatics
description: Big claims like "all of them" or "millions flooding in" are worth checking against official numbers; the numbers can be big without matching what a scary video says. Who acts: millions, Big claims, numbers, scary video. A sentence of the lesson «Immigration and borders» of the politics course of Mov
---

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# Immigration and borders, sentence 7

<!-- .ven lang=en -->
Big claims like "all of them" or "millions flooding in" are worth checking against official numbers; the numbers can be big without matching what a scary video says.

<!-- .vintro -->
**Who acts:** millions, Big claims, numbers, scary video · **What happens:** flood, be, check, match, say · **To what, where:** official numbers · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of the lesson «Immigration and borders» of the politics 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 (millions, Big claims, numbers, scary video), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:politics:019-immigration-and-borders.lesson:7
# text = Big claims like "all of them" or "millions flooding in" are worth checking against official numbers; the numbers can be big without matching what a scary video says.
# source = school lesson (ours)
# course = politics
# lesson = 019-immigration-and-borders.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): R5-strong ×1, R6-punct-agree ×3, R7-rel-agree ×2, R8-pos-agree ×2
1	Big	big	ADJ	JJ	Degree=Pos	2	amod	_	_
2	claims	claim	NOUN	NNS	Number=Plur	16	nsubj	_	_
3	like	like	ADP	IN	_	5	case	_	_
4	"	"	PUNCT	``	_	5	punct	_	Agree=R6-punct-agree|Haiku=11:punct
5	all	all	DET	DT	PronType=Tot	2	nmod	_	Agree=R8-pos-agree|Haiku=2:nmod|HaikuPos=PRON:DT:PronType=Tot
6	of	of	ADP	IN	_	7	case	_	_
7	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	5	nmod	_	_
8	"	"	PUNCT	''	_	5	punct	_	Agree=R6-punct-agree|Haiku=11:punct|HaikuPos=PUNCT:``:_
9	or	or	CCONJ	CC	_	11	cc	_	_
10	"	"	PUNCT	``	_	11	punct	_	_
11	millions	million	NOUN	NNS	Number=Plur	5	conj	_	_
12	flooding	flood	VERB	VBG	VerbForm=Ger	11	acl	_	_
13	in	in	ADV	RB	_	12	advmod	_	Agree=R5-strong|Haiku=16:case|HaikuPos=ADP:IN:_
14	"	"	PUNCT	''	_	12	punct	_	Agree=R6-punct-agree|Haiku=16:punct|HaikuPos=PUNCT:``:_
15	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	16	cop	_	_
16	worth	worth	ADJ	JJ	Degree=Pos	0	root	_	_
17	checking	check	VERB	VBG	VerbForm=Ger	16	xcomp	_	Agree=R7-rel-agree|Haiku=16:ccomp
18	against	against	ADP	IN	_	20	case	_	_
19	official	official	ADJ	JJ	Degree=Pos	20	amod	_	_
20	numbers	number	NOUN	NNS	Number=Plur	17	obl	_	_
21	;	;	PUNCT	,	_	26	punct	_	_
22	the	the	DET	DT	Definite=Def|PronType=Art	23	det	_	_
23	numbers	number	NOUN	NNS	Number=Plur	26	nsubj	_	_
24	can	can	AUX	MD	VerbForm=Fin	26	aux	_	_
25	be	be	AUX	VB	VerbForm=Inf	26	cop	_	_
26	big	big	ADJ	JJ	Degree=Pos	16	parataxis	_	Agree=R7-rel-agree|Haiku=16:conj
27	without	without	SCONJ	IN	_	28	mark	_	_
28	matching	match	VERB	VBG	Tense=Pres|VerbForm=Part	26	advcl	_	_
29	what	what	PRON	WP	PronType=Int	33	obj	_	Agree=R8-pos-agree|Haiku=33:obj|HaikuPos=DET:WDT:PronType=Int
30	a	a	DET	DT	Definite=Ind|PronType=Art	32	det	_	_
31	scary	scary	ADJ	JJ	Degree=Pos	32	amod	_	_
32	video	video	NOUN	NN	Number=Sing	33	nsubj	_	_
33	says	say	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	28	parataxis	_	_
34	.	.	PUNCT	.	_	16	punct	_	_
```

## Pragmatics {#pragmatics}

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- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: changed voice=narrator

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **flood** *in a quote* | gerund | millions *not said here* |  |  |  |  |  | vn other\_cos-45.4 «NP.patient V»: agent=Patient |
| 2 | **is** | present | Big claims like all |  |  |  |  | worth *property* | tree rules |
| 3 | **check** | gerund | Big claims like all *not said here* |  |  | official numbers |  |  | vn search-35.2 «NP V PP.location»: agent=Agent against number=Location |
| 4 | **is** | can | the numbers |  |  |  |  | big *property* | tree rules |
| 5 | **match** | gerund | the numbers *not said here* |  |  |  |  |  | vn amalgamate-22.2-1 «NP V ADVP-Middle»: agent=Patient |
| 6 | **say** *speech: assert* | present | a scary video |  |  |  |  |  | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic |

<!-- .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.

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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:politics:019-immigration-and-borders.lesson:7`.

**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): R5-strong ×1, R6-punct-agree ×3, R7-rel-agree ×2, R8-pos-agree ×2. **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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<!-- pn -->
- ← previous: [Immigration and borders, 6](https://md.mova.elamur.ai/free/en/corpora/school/politics/19-immigration-and-borders/6/)
- next →: [Immigration and borders, 8](https://md.mova.elamur.ai/free/en/corpora/school/politics/19-immigration-and-borders/8/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/politics/19-immigration-and-borders/)

