---
title: It was reported that a robocall used a fake, AI-made voice of a US p… — In the news: invented court cases and an airline… · tree and pragmatics
description: It was reported that a robocall used a fake, AI-made voice of a US president telling people not to vote in an election, and that fines and criminal charges followed. Who acts: robocall, fake made voice, fines. A sentence of the lesson «In the news: invented court cases and an airline's chatbot» of t
---

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# In the news: invented court cases and an airline's chatbot, sentence 14

<!-- .ven lang=en -->
It was reported that a robocall used a fake, AI-made voice of a US president telling people not to vote in an election, and that fines and criminal charges followed.

<!-- .vintro -->
**Who acts:** robocall, fake made voice, fines · **What happens:** report, use, make, tell, not vote, follow · **To what, where:** confidence, fake made voice, people, election · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of the lesson «In the news: invented court cases and an airline's chatbot» of the ai 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 (robocall, fake made voice, fines), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:020-news-court-cases-airline.lesson:14
# text = It was reported that a robocall used a fake, AI-made voice of a US president telling people not to vote in an election, and that fines and criminal charges followed.
# source = school lesson (ours)
# course = ai
# lesson = 020-news-court-cases-airline.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
1	It	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	3	nsubj:pass	_	_
2	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	3	aux:pass	_	_
3	reported	report	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	that	that	SCONJ	IN	_	7	mark	_	_
5	a	a	DET	DT	Definite=Ind|PronType=Art	6	det	_	_
6	robocall	robocall	NOUN	NN	Number=Sing	7	nsubj	_	_
7	used	use	VERB	VBD	Mood=Ind|Tense=Past|VerbForm=Fin	3	ccomp	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	14	det	_	_
9	fake	fake	ADJ	JJ	Degree=Pos	14	amod	_	_
10	,	,	PUNCT	,	_	9	punct	_	_
11	AI	ai	NOUN	NN	Number=Sing	13	compound	_	_
12	-	-	PUNCT	HYPH	_	11	punct	_	_
13	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	14	amod	_	_
14	voice	voice	NOUN	NN	Number=Sing	7	obj	_	_
15	of	of	ADP	IN	_	18	case	_	_
16	a	a	DET	DT	Definite=Ind|PronType=Art	18	det	_	_
17	US	US	PROPN	NNP	Number=Sing	18	compound	_	_
18	president	president	NOUN	NN	Number=Sing	14	nmod	_	_
19	telling	tell	VERB	VBG	VerbForm=Ger	14	acl	_	Agree=R5-strong|Haiku=18:acl
20	people	people	NOUN	NNS	Number=Plur	19	obj	_	_
21	not	not	PART	RB	Polarity=Neg	23	advmod	_	_
22	to	to	PART	TO	_	23	mark	_	_
23	vote	vote	VERB	VB	VerbForm=Inf	19	xcomp	_	_
24	in	in	ADP	IN	_	26	case	_	_
25	an	a	DET	DT	Definite=Ind|PronType=Art	26	det	_	_
26	election	election	NOUN	NN	Number=Sing	23	obl	_	_
27	,	,	PUNCT	,	_	34	punct	_	_
28	and	and	CCONJ	CC	_	34	cc	_	_
29	that	that	SCONJ	IN	_	34	mark	_	_
30	fines	fine	NOUN	NNS	Number=Plur	34	nsubj	_	_
31	and	and	CCONJ	CC	_	33	cc	_	_
32	criminal	criminal	ADJ	JJ	Degree=Pos	33	amod	_	_
33	charges	charge	NOUN	NNS	Number=Plur	30	conj	_	_
34	followed	follow	VERB	VBD	Mood=Ind|Tense=Past|VerbForm=Fin	7	conj	_	_
35	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- .note -->
No stored speech act for this sentence.

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **report** | past · passive |  | confidence |  |  |  |  | vn characterize-29.2-1-2 «NP V NP to be ADJ»: subject=Theme clause=Attribute |
| 2 | **use** | past | a robocall | a fake made voice of a US president |  |  |  |  | vn eat-39.1 «NP V NP»: agent=Agent voice=Patient |
| 3 | **make** | participle |  |  |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset |
| 4 | **tell** *speech: assert* | gerund | a fake made voice of a US president *not said here* |  | people |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP S\_INF»: agent=Agent people=Recipient clause=Topic |
| 5 | **not** **vote** *not said to happen* | to-infinitive | a fake made voice of a US president *not said here* |  |  | a election |  |  | vn dub-29.3.2 «NP V NP»: agent=Agent |
| 6 | **follow** | past | fines and criminal charges |  |  |  |  |  | vn occur-48.3-1 «NP V»: agent=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.

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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:ai:020-news-court-cases-airline.lesson:14`.

**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. **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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