---
title: AI picture and music apps make a dragon or a song from a few typed w… — AI pictures and AI music, as reported · tree and pragmatics
description: AI picture and music apps make a dragon or a song from a few typed words, called a prompt, because they were trained on huge numbers of pictures and songs made by people. Who acts: picture apps, few typed words. A sentence of the lesson «AI pictures and AI music, as reported» of the arts course of M
---

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# AI pictures and AI music, as reported, sentence 0

<!-- .ven lang=en -->
AI picture and music apps make a dragon or a song from a few typed words, called a prompt, because they were trained on huge numbers of pictures and songs made by people.

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**Who acts:** picture apps, few typed words · **What happens:** make, type, call, train · **To what, where:** dragon, few typed words, prompt, apps, huge numbers, pictures · **Speech:** someone speaks here

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This is a sentence of the lesson «AI pictures and AI music, as reported» of the arts 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 (picture apps, few typed words), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:arts:036-ai-pictures-and-ai-music-as-reported.lesson:0
# text = AI picture and music apps make a dragon or a song from a few typed words, called a prompt, because they were trained on huge numbers of pictures and songs made by people.
# source = school lesson (ours)
# course = arts
# lesson = 036-ai-pictures-and-ai-music-as-reported.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): R8-pos-agree ×1
1	AI	ai	NOUN	NN	Number=Sing	2	compound	_	Agree=R8-pos-agree|Haiku=2:compound|HaikuPos=PROPN:NNP:_
2	picture	picture	NOUN	NN	Number=Sing	5	compound	_	_
3	and	and	CCONJ	CC	_	4	cc	_	_
4	music	music	NOUN	NN	Number=Sing	2	conj	_	_
5	apps	app	NOUN	NNS	Number=Plur	6	nsubj	_	_
6	make	make	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	8	det	_	_
8	dragon	dragon	NOUN	NN	Number=Sing	6	obj	_	_
9	or	or	CCONJ	CC	_	11	cc	_	_
10	a	a	DET	DT	Definite=Ind|PronType=Art	11	det	_	_
11	song	song	NOUN	NN	Number=Sing	8	conj	_	_
12	from	from	ADP	IN	_	16	case	_	_
13	a	a	DET	DT	Definite=Ind|PronType=Art	16	det	_	_
14	few	few	ADJ	JJ	Degree=Pos	16	amod	_	_
15	typed	type	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	16	amod	_	_
16	words	word	NOUN	NNS	Number=Plur	8	nmod	_	_
17	,	,	PUNCT	,	_	18	punct	_	_
18	called	call	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	16	acl	_	_
19	a	a	DET	DT	Definite=Ind|PronType=Art	20	det	_	_
20	prompt	prompt	NOUN	NN	Number=Sing	18	obj	_	_
21	,	,	PUNCT	,	_	25	punct	_	_
22	because	because	SCONJ	IN	_	25	mark	_	_
23	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	25	nsubj:pass	_	_
24	were	be	AUX	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	25	aux:pass	_	_
25	trained	train	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	6	advcl	_	_
26	on	on	ADP	IN	_	28	case	_	_
27	huge	huge	ADJ	JJ	Degree=Pos	28	amod	_	_
28	numbers	number	NOUN	NNS	Number=Plur	25	obl	_	_
29	of	of	ADP	IN	_	30	case	_	_
30	pictures	picture	NOUN	NNS	Number=Plur	28	nmod	_	_
31	and	and	CCONJ	CC	_	32	cc	_	_
32	songs	song	NOUN	NNS	Number=Plur	30	conj	_	_
33	made	make	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	30	acl	_	_
34	by	by	ADP	IN	_	35	case	_	_
35	people	people	NOUN	NNS	Number=Plur	33	obl:agent	_	_
36	.	.	PUNCT	.	_	6	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 | **make** | present | picture apps | a dragon or a song |  | a few typed words |  |  | vn build-26.1-1 «NP.asset V PP»: agent=Asset dragon=Product from word=Material |
| 2 | **type** | participle |  |  |  |  |  |  | vn scribble-25.2-1 «NP V»: agent=Agent |
| 3 | **call** | participle | a few typed words *not said here* | a prompt |  |  |  |  | vn initiate\_communication-37.4.2-1 «NP V NP.recipient»: agent=Agent prompt=Recipient |
| 4 | **train** | past · passive |  | apps *= app* |  | huge numbers of pictures and songs |  |  | vn hire-13.5.3 «NP V NP»: subject=Theme |
| 5 | **make** | participle |  | pictures and songs *not said here* |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset |

<!-- .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:arts:036-ai-pictures-and-ai-music-as-reported.lesson:0`.

**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): R8-pos-agree ×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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