---
title: Auto-Tune is software that can fix slightly-off notes or, turned up,… — How a song is made: writing, recording, producing · tree and pragmatics
description: Auto-Tune is software that can fix slightly-off notes or, turned up, give a robotic effect on purpose; Cher's 1998 song "Believe" made that effect famous. Who acts: Auto Tune, software, 1998 song, Cher. A sentence of the lesson «How a song is made: writing, recording, producing» of the arts course o
---

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# How a song is made: writing, recording, producing, sentence 7

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Auto-Tune is software that can fix slightly-off notes or, turned up, give a robotic effect on purpose; Cher's 1998 song "Believe" made that effect famous.

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**Who acts:** Auto Tune, software, 1998 song, Cher · **What happens:** be, fix, turn up, give, believe, make · **To what, where:** software, off notes, robotic effect, purpose, effect

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This is a sentence of the lesson «How a song is made: writing, recording, producing» 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 (Auto Tune, software, 1998 song, Cher), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:arts:007-how-a-song-is-made-writing-recording-producing.lesson:7
# text = Auto-Tune is software that can fix slightly-off notes or, turned up, give a robotic effect on purpose; Cher's 1998 song "Believe" made that effect famous.
# source = school lesson (ours)
# course = arts
# lesson = 007-how-a-song-is-made-writing-recording-producing.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, R7-rel-agree ×4, R8-pos-agree ×2
1	Auto	Auto	PROPN	NNP	Number=Sing	3	compound	_	_
2	-	-	PUNCT	HYPH	_	1	punct	_	Agree=R8-pos-agree|Haiku=1:punct|HaikuPos=PUNCT:,:_
3	Tune	Tune	PROPN	NNP	Number=Sing	5	nsubj	_	Agree=R7-rel-agree|Haiku=5:compound
4	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
5	software	software	NOUN	NN	Number=Sing	0	root	_	_
6	that	that	PRON	WDT	PronType=Rel	8	nsubj	_	_
7	can	can	AUX	MD	VerbForm=Fin	8	aux	_	_
8	fix	fix	VERB	VB	VerbForm=Inf	5	acl:relcl	_	_
9	slightly	slightly	ADV	RB	_	11	advmod	_	Agree=R5-strong|Haiku=12:advmod
10	-	-	PUNCT	HYPH	_	9	punct	_	_
11	off	off	NOUN	NN	Number=Sing	12	compound	_	_
12	notes	note	NOUN	NNS	Number=Plur	8	obj	_	_
13	or	or	CCONJ	CC	_	18	cc	_	_
14	,	,	PUNCT	,	_	13	punct	_	_
15	turned	turn	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	advcl	_	Agree=R8-pos-agree|Haiku=8:advcl|HaikuPos=VERB:VBD:Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin
16	up	up	ADP	RP	_	15	compound:prt	_	_
17	,	,	PUNCT	,	_	18	punct	_	_
18	give	give	VERB	VB	VerbForm=Inf	8	conj	_	_
19	a	a	DET	DT	Definite=Ind|PronType=Art	21	det	_	_
20	robotic	robotic	ADJ	JJ	Degree=Pos	21	amod	_	Agree=R7-rel-agree|Haiku=21:compound|HaikuPos=NOUN:NN:Number=Sing
21	effect	effect	NOUN	NN	Number=Sing	18	obj	_	_
22	on	on	ADP	IN	_	23	case	_	_
23	purpose	purpose	NOUN	NN	Number=Sing	18	obl	_	_
24	;	;	PUNCT	,	_	32	punct	_	_
25	Cher	Cher	PROPN	NNP	Number=Sing	28	nmod:poss	_	_
26	's	's	PART	POS	_	25	case	_	_
27	1998	1998	NUM	CD	NumForm=Digit|NumType=Card	28	nummod	_	_
28	song	song	NOUN	NN	Number=Sing	32	nsubj	_	_
29	"	"	PUNCT	``	_	30	punct	_	_
30	Believe	believe	VERB	VB	Mood=Imp|VerbForm=Fin	28	appos	_	Agree=R7-rel-agree|Haiku=28:parataxis
31	"	"	PUNCT	''	_	30	punct	_	_
32	made	make	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	5	parataxis	_	Agree=R7-rel-agree|Haiku=5:conj
33	that	that	DET	DT	Number=Sing|PronType=Dem	34	det	_	_
34	effect	effect	NOUN	NN	Number=Sing	32	obj	_	_
35	famous	famous	ADJ	JJ	Degree=Pos	32	xcomp	_	_
36	.	.	PUNCT	.	_	5	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 | **is a** | present | Auto Tune | software |  |  |  |  | tree rules |
| 2 | **fix** | can | software | off notes |  |  |  |  | vn shake-22.3-2 «NP V NP together»: agent=Agent note=Patient |
| 3 | **turn up** | participle | software *not said here* |  |  |  |  |  | vn appear-48.1.1 «NP V»: agent=Theme |
| 4 | **give** | infinitive | software *not said here* | a robotic effect |  | purpose |  |  | vn give-13.1-1 «NP V NP PP.recipient PP.asset»: agent=Agent effect=Theme on purpose=Asset |
| 5 | **believe** *in a quote* | infinitive |  |  |  |  |  |  | vn admire-31.2 «NP V that S»: agent=Experiencer |
| 6 | **make** | past | Cher's 1998 song | that effect |  |  |  | famous *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset effect=Product |
| 7 | **sing** |  | Cher |  |  |  |  |  | nom song «communication intransitive»: poss=agent |

<!-- .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:007-how-a-song-is-made-writing-recording-producing.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, R7-rel-agree ×4, 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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