---
title: Based on findings by the International Monetary Fund (IMF) in 2022,… — Vietnam · tree and pragmatics
description: Based on findings by the International Monetary Fund (IMF) in 2022, the unemployment rate in Vietnam was 2.3%, the nominal GDP US$406.452 billion, and a nominal GDP per capita $4,086. A sentence of Wikipedia's «Vietnam» with its dependency tree and pragmatics.
---

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[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/wikipedia/en/Vietnam/362/)

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# Vietnam, sentence 362

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From Wikipedia, [«Vietnam»](https://en.wikipedia.org/wiki/Vietnam), revision of the 2026-09-01 dump, [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/). The trees and pragmatics of these pages, Mova's parse of that text, are CC BY-SA 4.0 too.

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Based on findings by the International Monetary Fund (IMF) in 2022, the unemployment rate in Vietnam was 2.3%, the nominal GDP US$406.452 billion, and a nominal GDP per capita $4,086.

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**What happens:** base · **To what, where:** findings

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This is a sentence of the English Wikipedia article «Vietnam». The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: what happens, when and where, as Mova's frames read it from the tree.

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**Mova's own parse.** This tree may be wrong. The article's note marks are left out of the parse.

## The tree {#tree}

```conllu
# sent_id = wikipedia:Vietnam:362
# text = Based on findings by the International Monetary Fund (IMF) in 2022, the unemployment rate in Vietnam was 2.3%, the nominal GDP US$406.452 billion, and a nominal GDP per capita $4,086.
1	Based	base	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	22	advcl	_	_
2	on	on	ADP	IN	_	3	case	_	_
3	findings	finding	NOUN	NNS	Number=Plur	1	obl	_	_
4	by	by	ADP	IN	_	8	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
6	International	International	ADJ	NNP	Degree=Pos	8	amod	_	_
7	Monetary	Monetary	PROPN	NNP	Number=Sing	8	compound	_	_
8	Fund	Fund	PROPN	NNP	Number=Sing	1	obl	_	_
9	(	(	PUNCT	-LRB-	_	10	punct	_	SpaceAfter=No
10	IMF	imf	NOUN	NN	Number=Sing	8	appos	_	SpaceAfter=No
11	)	)	PUNCT	-RRB-	_	10	punct	_	_
12	in	in	ADP	IN	_	13	case	_	_
13	2022	2022	NUM	CD	NumForm=Digit|NumType=Card	22	obl	_	SpaceAfter=No
14	,	,	PUNCT	,	_	13	punct	_	_
15	the	the	DET	DT	Definite=Def|PronType=Art	17	det	_	_
16	unemployment	unemployment	NOUN	NN	Number=Sing	17	compound	_	_
17	rate	rate	NOUN	NN	Number=Sing	22	nsubj	_	_
18	in	in	ADP	IN	_	19	case	_	_
19	Vietnam	Vietnam	PROPN	NNP	Number=Sing	17	nmod	_	_
20	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	22	cop	_	_
21	2.3	2.3	NUM	CD	NumForm=Digit|NumType=Card	22	nummod	_	SpaceAfter=No
22	%	%	SYM	NN	Number=Sing	0	root	_	SpaceAfter=No
23	,	,	PUNCT	,	_	28	punct	_	_
24	the	the	DET	DT	Definite=Def|PronType=Art	27	det	_	_
25	nominal	nominal	ADJ	JJ	Degree=Pos	27	amod	_	_
26	GDP	GDP	PROPN	NNP	Number=Sing	27	compound	_	_
27	US	US	PROPN	NNP	Number=Sing	28	nsubj	_	SpaceAfter=No
28	$	$	SYM	$	_	22	nmod	_	SpaceAfter=No
29	406.452	406.452	NUM	CD	NumForm=Digit|NumType=Card	30	compound	_	_
30	billion	billion	NUM	CD	NumForm=Word|NumType=Card	28	nummod	_	SpaceAfter=No
31	,	,	PUNCT	,	_	35	punct	_	_
32	and	and	CCONJ	CC	_	35	cc	_	_
33	a	a	DET	DT	Definite=Ind|PronType=Art	35	det	_	_
34	nominal	nominal	NOUN	NN	Number=Sing	35	compound	_	_
35	GDP	gdp	NOUN	NN	Number=Sing	28	appos	_	_
36	per	per	ADP	IN	_	37	case	_	_
37	capita	capita	NOUN	NN	Number=Sing	35	nmod	_	_
38	$	$	SYM	$	_	37	nmod	_	SpaceAfter=No
39	4,086	4,086	NUM	CD	NumForm=Digit|NumType=Card	38	nummod	_	SpaceAfter=No
40	.	.	PUNCT	.	_	22	punct	_	_
```

## Pragmatics {#pragmatics}

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **base** | participle |  |  |  | findings |  | by the International Monetary Fund | vn base-97.1 «NP V NP PP.source»: agent=Agent on finding=Source |

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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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**Text:** the English Wikipedia, «Vietnam», revision of the 2026-09-01 dump, CC BY-SA 4.0. **Tree:** Mova's own parse, CC BY-SA 4.0 as the text is. **Frames:** Mova's frames reader (`prag`), the article read in order, CC BY-SA 4.0.

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