---
title: bias — school dictionary · trees and pragmatics
description: «bias» in the school dictionary: Bias is an unfair way of favouring one person, side or idea over others, often without good reason: a referee with a bias towards one team. Every meaning for a pupil with its dependency tree and pragmatics.
---

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# bias

<!-- .vintro -->
**Who acts:** Bias, unfair way, you, results, cutting, weight · **What happens:** be, favour, bias, mean, test, collect · **To what, where:** unfair way, one person, others, someone, bias, maths · **Speech:** someone speaks here

<!-- .vabout -->
«bias» in the school dictionary: its 5 meanings for a pupil and its 8 examples, every sentence parsed by Mova itself — its syntax tree, a dependency tree in the style of Universal Dependencies, and its pragmatics clause by clause. The word in the dictionary, with its sense in the lessons: [bias in the school dictionary](https://md.mova.elamur.ai/free/en/dictionaries/school/w/bias.md).

## Meaning 1 {#m1}

<!-- .ven lang=en -->
Bias is an unfair way of favouring one person, side or idea over others, often without good reason: a referee with a bias towards one team.

<!-- fold The tree, 26 words -->
```conllu
# sent_id = dict:school:bias:m1:1
# text = Bias is an unfair way of favouring one person, side or idea over others, often without good reason: a referee with a bias towards one team.
1	Bias	bias	NOUN	NN	Number=Sing	5	nsubj	_	_
2	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	cop	_	_
3	an	a	DET	DT	Definite=Ind|PronType=Art	5	det	_	_
4	unfair	unfair	ADJ	JJ	Degree=Pos	5	amod	_	_
5	way	way	NOUN	NN	Number=Sing	0	root	_	_
6	of	of	SCONJ	IN	_	7	mark	_	_
7	favouring	favour	VERB	VBG	VerbForm=Ger	5	acl	_	_
8	one	one	NUM	CD	NumForm=Word|NumType=Card	9	nummod	_	_
9	person	person	NOUN	NN	Number=Sing	7	obj	_	SpaceAfter=No
10	,	,	PUNCT	,	_	11	punct	_	_
11	side	side	NOUN	NN	Number=Sing	9	conj	_	_
12	or	or	CCONJ	CC	_	13	cc	_	_
13	idea	idea	NOUN	NN	Number=Sing	9	conj	_	_
14	over	over	ADP	IN	_	15	case	_	_
15	others	other	NOUN	NNS	Number=Plur	7	obl	_	SpaceAfter=No
16	,	,	PUNCT	,	_	20	punct	_	_
17	often	often	ADV	RB	_	20	advmod	_	_
18	without	without	ADP	IN	_	20	case	_	_
19	good	good	ADJ	JJ	Degree=Pos	20	amod	_	_
20	reason	reason	NOUN	NN	Number=Sing	5	parataxis	_	SpaceAfter=No
21	:	:	PUNCT	:	_	23	punct	_	_
22	a	a	DET	DT	Definite=Ind|PronType=Art	23	det	_	_
23	referee	referee	NOUN	NN	Number=Sing	20	conj	_	_
24	with	with	ADP	IN	_	26	case	_	_
25	a	a	DET	DT	Definite=Ind|PronType=Art	26	det	_	_
26	bias	bias	NOUN	NN	Number=Sing	23	nmod	_	_
27	towards	towards	ADP	IN	_	29	case	_	_
28	one	one	NUM	CD	NumForm=Word|NumType=Card	29	nummod	_	_
29	team	team	NOUN	NN	Number=Sing	20	nmod	_	SpaceAfter=No
30	.	.	PUNCT	.	_	5	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | Bias | a unfair way |  |  |  |  | tree rules |
| 2 | **favour** | gerund | a unfair way *not said here* | one person and side or idea |  | others |  |  | tree rules |

<!-- .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.

## Meaning 2 {#m2}

<!-- .ven lang=en -->
To bias someone or something is to make them unfair or one-sided; «biased» means unfair and one-sided.

<!-- fold The tree, 19 words -->
```conllu
# sent_id = dict:school:bias:m2:1
# text = To bias someone or something is to make them unfair or one-sided; «biased» means unfair and one-sided.
1	To	to	PART	TO	_	2	mark	_	_
2	bias	bias	VERB	VB	VerbForm=Inf	8	advcl	_	_
3	someone	someone	PRON	NN	Number=Sing|PronType=Ind	2	obj	_	_
4	or	or	CCONJ	CC	_	5	cc	_	_
5	something	something	PRON	NN	Number=Sing|PronType=Ind	3	conj	_	_
6	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	cop	_	_
7	to	to	PART	TO	_	8	mark	_	_
8	make	make	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
9	them	they	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs	8	obj	_	_
10	unfair	unfair	ADJ	JJ	Degree=Pos	8	xcomp	_	_
11	or	or	CCONJ	CC	_	14	cc	_	_
12	one	one	NUM	CD	NumForm=Word|NumType=Card	14	nummod	_	SpaceAfter=No
13	-	-	PUNCT	HYPH	_	12	punct	_	SpaceAfter=No
14	sided	sided	ADJ	JJ	Degree=Pos	10	conj	_	SpaceAfter=No
15	;	;	PUNCT	,	_	19	punct	_	_
16	«	«	PUNCT	``	_	17	punct	_	SpaceAfter=No
17	biased	bias	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	19	nsubj	_	SpaceAfter=No
18	»	»	PUNCT	''	_	17	punct	_	_
19	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	parataxis	_	_
20	unfair	unfair	ADJ	JJ	Degree=Pos	19	xcomp	_	_
21	and	and	CCONJ	CC	_	24	cc	_	_
22	one	one	NUM	CD	NumForm=Word|NumType=Card	24	nummod	_	SpaceAfter=No
23	-	-	PUNCT	HYPH	_	22	punct	_	SpaceAfter=No
24	sided	sided	ADJ	JJ	Degree=Pos	20	conj	_	SpaceAfter=No
25	.	.	PUNCT	.	_	8	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **bias** | to-infinitive |  | someone |  |  |  |  | vn addict-96 «NP V NP PP.Theme»: agent=Agent someone=Patient |
| 2 | **is** | present |  |  |  |  |  | make, unfair *property* | tree rules |
| 3 | **bias** *in a quote* | participle |  |  |  |  |  |  | vn addict-96 «NP V NP PP.Theme»: agent=Agent |
| 4 | **mean** | present |  |  |  |  |  | unfair *property* | vn intend-61.2-1 «NP V S»: agent=Agent |

## Meaning 3 {#m3}

<!-- .ven lang=en -->
In maths and science, bias is when results are pushed in one direction by the way you test or collect data, so they are not fair or accurate.

<!-- fold The tree, 28 words -->
```conllu
# sent_id = dict:school:bias:m3:1
# text = In maths and science, bias is when results are pushed in one direction by the way you test or collect data, so they are not fair or accurate.
1	In	in	ADP	IN	_	2	case	_	_
2	maths	math	NOUN	NNS	Number=Plur	11	obl	_	_
3	and	and	CCONJ	CC	_	4	cc	_	_
4	science	science	NOUN	NN	Number=Sing	2	conj	_	SpaceAfter=No
5	,	,	PUNCT	,	_	2	punct	_	_
6	bias	bias	NOUN	NN	Number=Sing	11	nsubj:pass	_	_
7	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	11	cop	_	_
8	when	when	SCONJ	WRB	_	11	mark	_	_
9	results	result	NOUN	NNS	Number=Plur	11	nsubj:pass	_	_
10	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	11	aux:pass	_	_
11	pushed	push	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
12	in	in	ADP	IN	_	14	case	_	_
13	one	one	NUM	CD	NumForm=Word|NumType=Card	14	nummod	_	_
14	direction	direction	NOUN	NN	Number=Sing	11	obl	_	_
15	by	by	ADP	IN	_	17	case	_	_
16	the	the	DET	DT	Definite=Def|PronType=Art	17	det	_	_
17	way	way	NOUN	NN	Number=Sing	11	obl	_	_
18	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	19	nsubj	_	_
19	test	test	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	17	acl:relcl	_	_
20	or	or	CCONJ	CC	_	21	cc	_	_
21	collect	collect	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	19	conj	_	_
22	data	data	NOUN	NN	Number=Sing	21	obj	_	SpaceAfter=No
23	,	,	PUNCT	,	_	28	punct	_	_
24	so	so	ADV	RB	_	28	advmod	_	_
25	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	28	nsubj	_	_
26	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	28	cop	_	_
27	not	not	PART	RB	Polarity=Neg	28	advmod	_	_
28	fair	fair	ADJ	JJ	Degree=Pos	11	parataxis	_	_
29	or	or	CCONJ	CC	_	30	cc	_	_
30	accurate	accurate	ADJ	JJ	Degree=Pos	28	conj	_	SpaceAfter=No
31	.	.	PUNCT	.	_	11	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present · passive |  | bias |  | maths and science |  | in one direction; by the way; push *property* | tree rules |
| 2 | **test** | present | you | the way *not said here* |  |  |  |  | vn assessment-34.1 «NP V NP»: agent=Agent way=Theme |
| 3 | **collect** | present | you *not said here* | data |  |  |  |  | vn obtain-13.5.2 «NP V NP»: agent=Agent data=Theme |
| 4 | **not** **is** | present | results *= result* |  |  |  |  | fair *property* | tree rules |
| 5 | **be** |  | results *= result* *not said here* |  |  |  |  |  | tree rules |

## Meaning 4 {#m4}

<!-- .ven lang=en -->
In sewing, cutting cloth «on the bias» means cutting diagonally across the threads.

<!-- fold The tree, 13 words -->
```conllu
# sent_id = dict:school:bias:m4:1
# text = In sewing, cutting cloth «on the bias» means cutting diagonally across the threads.
1	In	in	ADP	IN	_	2	case	_	_
2	sewing	sewing	NOUN	NN	Number=Sing	11	obl	_	SpaceAfter=No
3	,	,	PUNCT	,	_	2	punct	_	_
4	cutting	cut	VERB	VBG	VerbForm=Ger	11	csubj	_	_
5	cloth	cloth	NOUN	NN	Number=Sing	4	obj	_	_
6	«	«	PUNCT	``	_	9	punct	_	SpaceAfter=No
7	on	on	ADP	IN	_	9	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	bias	bias	NOUN	NN	Number=Sing	4	obl	_	SpaceAfter=No
10	»	»	PUNCT	''	_	9	punct	_	_
11	means	mean	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
12	cutting	cut	VERB	VBG	VerbForm=Ger	11	ccomp	_	_
13	diagonally	diagonally	ADV	RB	_	12	advmod	_	_
14	across	across	ADP	IN	_	16	case	_	_
15	the	the	DET	DT	Definite=Def|PronType=Art	16	det	_	_
16	threads	thread	NOUN	NNS	Number=Plur	12	obl	_	SpaceAfter=No
17	.	.	PUNCT	.	_	11	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **cut** | gerund |  | cloth |  | the bias |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset cloth=Product |
| 2 | **mean** | present | cutting |  |  | sewing |  |  | vn intend-61.2-1 «NP V S»: agent=Agent clause=Topic |
| 3 | **cut** | gerund |  |  |  | the threads |  | diagonally *property* | vn meander-47.7 «NP V PP.location»: agent=Theme across thread=Location |

## Meaning 5 {#m5}

<!-- .ven lang=en -->
In bowls (lawn bowls), the bias is the weight that makes the ball curve.

<!-- fold The tree, 14 words -->
```conllu
# sent_id = dict:school:bias:m5:1
# text = In bowls (lawn bowls), the bias is the weight that makes the ball curve.
1	In	in	ADP	IN	_	2	case	_	_
2	bowls	bowl	NOUN	NNS	Number=Plur	12	obl	_	_
3	(	(	PUNCT	-LRB-	_	5	punct	_	SpaceAfter=No
4	lawn	lawn	NOUN	NN	Number=Sing	5	compound	_	_
5	bowls	bowl	NOUN	NNS	Number=Plur	2	appos	_	SpaceAfter=No
6	)	)	PUNCT	-RRB-	_	5	punct	_	SpaceAfter=No
7	,	,	PUNCT	,	_	2	punct	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	bias	bias	NOUN	NN	Number=Sing	12	nsubj	_	_
10	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	12	cop	_	_
11	the	the	DET	DT	Definite=Def|PronType=Art	12	det	_	_
12	weight	weight	NOUN	NN	Number=Sing	0	root	_	_
13	that	that	PRON	WDT	PronType=Rel	14	nsubj	_	_
14	makes	make	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	12	acl:relcl	_	_
15	the	the	DET	DT	Definite=Def|PronType=Art	17	det	_	_
16	ball	ball	NOUN	NN	Number=Sing	17	compound	_	_
17	curve	curve	NOUN	NN	Number=Sing	14	obj	_	SpaceAfter=No
18	.	.	PUNCT	.	_	12	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is a** | present | the bias | the weight |  | bowls |  |  | tree rules |
| 2 | **make** | present | the weight | the ball curve |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset curve=Product |

## Example 1 {#x1}

<!-- .ven lang=en -->
The referee was accused of bias towards the home team.

```conllu
# sent_id = dict:school:bias:x1:1
# text = The referee was accused of bias towards the home team.
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	referee	referee	NOUN	NN	Number=Sing	4	nsubj:pass	_	_
3	was	be	AUX	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	4	aux:pass	_	_
4	accused	accuse	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	bias	bias	NOUN	NN	Number=Sing	4	obl	_	_
7	towards	towards	ADP	IN	_	10	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
9	home	home	NOUN	NN	Number=Sing	10	compound	_	_
10	team	team	NOUN	NN	Number=Sing	4	obl	_	SpaceAfter=No
11	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **accuse** | past · passive |  | the referee |  |  |  | of bias; towards the home team | vn suspect-81 «NP V NP PP.attribute»: subject=Theme of bias=Attribute |

## Example 2 {#x2}

<!-- .ven lang=en -->
This website is biased because it only shows one side.

```conllu
# sent_id = dict:school:bias:x2:1
# text = This website is biased because it only shows one side.
1	This	this	DET	DT	Number=Sing|PronType=Dem	2	det	_	_
2	website	website	NOUN	NN	Number=Sing	4	nsubj:pass	_	_
3	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	aux:pass	_	_
4	biased	bias	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
5	because	because	SCONJ	IN	_	8	mark	_	_
6	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	8	nsubj	_	_
7	only	only	ADV	RB	_	8	advmod	_	_
8	shows	show	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	advcl	_	_
9	one	one	NUM	CD	NumForm=Word|NumType=Card	10	nummod	_	_
10	side	side	NOUN	NN	Number=Sing	8	obj	_	SpaceAfter=No
11	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **bias** | present · passive |  | this website |  |  |  |  | vn addict-96 «NP V NP PP.Theme»: subject=Patient |
| 2 | **show** | present | website | one side |  |  |  |  | vn transfer\_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent side=Recipient |

## Example 3 {#x3}

<!-- .ven lang=en -->
Ask lots of different people so your survey is not biased.

```conllu
# sent_id = dict:school:bias:x3:1
# text = Ask lots of different people so your survey is not biased.
1	Ask	ask	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	lots	lot	NOUN	NNS	Number=Plur	1	obj	_	_
3	of	of	ADP	IN	_	5	case	_	_
4	different	different	ADJ	JJ	Degree=Pos	5	amod	_	_
5	people	people	NOUN	NNS	Number=Plur	2	nmod	_	_
6	so	so	SCONJ	IN	_	11	mark	_	_
7	your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	8	nmod:poss	_	_
8	survey	survey	NOUN	NN	Number=Sing	11	nsubj:pass	_	_
9	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	11	aux:pass	_	_
10	not	not	PART	RB	Polarity=Neg	11	advmod	_	_
11	biased	bias	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	1	advcl	_	SpaceAfter=No
12	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **ask** *speech: ask* | imperative | you *not said here* | lots of different people |  |  |  |  | vn inquire-37.1.2 «NP V NP.recipient»: agent=Agent lot=Recipient |
| 2 | **not** **bias** | present · passive |  | your survey |  |  |  |  | vn addict-96 «NP V NP PP.Theme»: subject=Patient |
| 3 | **survey** |  | your |  |  |  |  |  | nom survey «act transitive»: poss=agent |

## Example 4 {#x4}

<!-- .ven lang=en -->
A coin that lands on heads too often may have a bias.

```conllu
# sent_id = dict:school:bias:x4:1
# text = A coin that lands on heads too often may have a bias.
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	coin	coin	NOUN	NN	Number=Sing	10	nsubj	_	_
3	that	that	PRON	WDT	PronType=Rel	4	nsubj	_	_
4	lands	land	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	acl:relcl	_	_
5	on	on	ADP	IN	_	6	case	_	_
6	heads	head	NOUN	NNS	Number=Plur	4	obl	_	_
7	too	too	ADV	RB	_	8	advmod	_	_
8	often	often	ADV	RB	_	4	advmod	_	_
9	may	may	AUX	MD	VerbForm=Fin	10	aux	_	_
10	have	have	VERB	VB	VerbForm=Inf	0	root	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	12	det	_	_
12	bias	bias	NOUN	NN	Number=Sing	10	obj	_	SpaceAfter=No
13	.	.	PUNCT	.	_	10	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **land** | present | a coin |  |  | heads |  | often *property* | vn pocket-9.10-1 «NP V PP.destination»: agent=Theme on head=Destination |
| 2 | **have** | may | a coin | a bias |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent bias=Patient |

## Example 5 {#x5}

<!-- .ven lang=en -->
Try to read the news without bias.

```conllu
# sent_id = dict:school:bias:x5:1
# text = Try to read the news without bias.
1	Try	try	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	to	to	PART	TO	_	3	mark	_	_
3	read	read	VERB	VB	VerbForm=Inf	1	xcomp	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	news	news	NOUN	NN	Number=Sing	3	obj	_	_
6	without	without	ADP	IN	_	7	case	_	_
7	bias	bias	NOUN	NN	Number=Sing	3	obl	_	SpaceAfter=No
8	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **try** | imperative | you *not said here* |  |  |  |  |  | vn try-61.1 «NP V S\_INF»: agent=Agent clause=Eventuality |
| 2 | **read** *not said to happen* | to-infinitive | you *not said here* | the news |  |  |  | without bias | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent news=Topic |

## Example 6 {#x6}

<!-- .ven lang=en -->
Everyone has some bias, so it helps to check other views.

```conllu
# sent_id = dict:school:bias:x6:1
# text = Everyone has some bias, so it helps to check other views.
1	Everyone	everyone	PRON	NN	Number=Sing|PronType=Tot	2	nsubj	_	_
2	has	have	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	some	some	DET	DT	PronType=Ind	4	det	_	_
4	bias	bias	NOUN	NN	Number=Sing	2	obj	_	SpaceAfter=No
5	,	,	PUNCT	,	_	8	punct	_	_
6	so	so	ADV	RB	_	8	advmod	_	_
7	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	8	nsubj	_	_
8	helps	help	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	2	conj	_	_
9	to	to	PART	TO	_	10	mark	_	_
10	check	check	VERB	VB	VerbForm=Inf	8	xcomp	_	_
11	other	other	ADJ	JJ	Degree=Pos	12	amod	_	_
12	views	view	NOUN	NNS	Number=Plur	10	obj	_	SpaceAfter=No
13	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **have** | present | Everyone | some bias |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent bias=Patient |
| 2 | **help** | present | bias |  |  |  |  |  | vn help-72.1-1-1 «NP V NP S\_INF»: agent=Agent clause=Theme |
| 3 | **check** | to-infinitive | bias *not said here* | other views |  |  |  |  | vn assessment-34.1 «NP V NP»: agent=Agent view=Theme |

## Example 7 {#x7}

<!-- .ven lang=en -->
The advert biased people towards buying the sweets.

```conllu
# sent_id = dict:school:bias:x7:1
# text = The advert biased people towards buying the sweets.
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	advert	advert	NOUN	NN	Number=Sing	3	nsubj	_	_
3	biased	bias	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	people	people	NOUN	NNS	Number=Plur	3	obj	_	_
5	towards	towards	SCONJ	IN	_	6	mark	_	_
6	buying	buy	VERB	VBG	Tense=Pres|VerbForm=Part	3	advcl	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	sweets	sweet	NOUN	NNS	Number=Plur	6	obj	_	SpaceAfter=No
9	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **bias** | past | the advert | people |  |  |  |  | vn addict-96 «NP V NP PP.Theme»: agent=Agent people=Patient |
| 2 | **buy** | gerund | the advert *not said here* | the sweets |  |  |  |  | vn accept-77.1 «NP V NP»: agent=Agent sweet=Theme |

## Example 8 {#x8}

<!-- .ven lang=en -->
AI can copy the bias in the data it learns from.

```conllu
# sent_id = dict:school:bias:x8:1
# text = AI can copy the bias in the data it learns from.
1	AI	ai	NOUN	NN	Number=Sing	3	nsubj	_	_
2	can	can	AUX	MD	VerbForm=Fin	3	aux	_	_
3	copy	copy	VERB	VB	VerbForm=Inf	0	root	_	_
4	the	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
5	bias	bias	NOUN	NN	Number=Sing	3	obj	_	_
6	in	in	ADP	IN	_	8	case	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	data	data	NOUN	NN	Number=Sing	3	obl	_	_
9	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
10	learns	learn	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	acl:relcl	_	_
11	from	from	ADP	IN	_	10	obl	_	SpaceAfter=No
12	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **copy** | can | AI | the bias |  | the data |  |  | vn scribble-25.2 «NP V NP PP.destination»: agent=Agent bias=Theme in data=Destination |
| 2 | **learn** | present | AI | the data *not said here* |  |  |  |  | vn learn-14-2-1 «NP V NP»: agent=Agent data=Topic |

<!-- div src -->

**Text:** the school dictionary of Mova's schools (`world/data/dictionary-schools/`), written for Mova. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each meaning and example read on its own. Elamur Cosmic License.

<!-- /div -->

<!-- pn -->
- ← previous: [biannual](https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/B/biannual/)
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- ↑ back to [B in school dictionary](https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/B/)

