---
title: Select the response that is consistent with the established facts co… — Using AI to learn, not to copy · tree and pragmatics
description: Select the response that is consistent with the established facts concerning automated tools for the detection of machine-written text. Exam question 3 of lesson 10 «Using AI to learn, not to copy» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and
---

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# Exam question 3 · Using AI to learn, not to copy

<!-- .ven lang=en -->
Select the response that is consistent with the established facts concerning automated tools for the detection of machine-written text.

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** you, response, established facts · **What happens:** select, be, establish, concern, write, detect · **To what, where:** response, automated tools, written text

<!-- .vabout -->
This is exam question 3 of lesson 10 «Using AI to learn, not to copy» of the AI course of Mova's primary school, asked in stiff, formal language. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/ai/10-using-ai-to-learn-not-to-copy/#e3).

## The question {#question}

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:e3:1
# text = Select the response that is consistent with the established facts concerning automated tools for the detection of machine-written text.
1	Select	select	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
2	the	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
3	response	response	NOUN	NN	Number=Sing	1	obj	_	_
4	that	that	PRON	WDT	PronType=Rel	6	nsubj	_	_
5	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	6	cop	_	_
6	consistent	consistent	ADJ	JJ	Degree=Pos	3	acl:relcl	_	_
7	with	with	ADP	IN	_	10	case	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	10	det	_	_
9	established	establish	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	10	amod	_	_
10	facts	fact	NOUN	NNS	Number=Plur	6	obl	_	_
11	concerning	concern	VERB	VBG	VerbForm=Ger	10	acl	_	_
12	automated	automated	ADJ	JJ	Degree=Pos	13	amod	_	_
13	tools	tool	NOUN	NNS	Number=Plur	11	obj	_	_
14	for	for	ADP	IN	_	16	case	_	_
15	the	the	DET	DT	Definite=Def|PronType=Art	16	det	_	_
16	detection	detection	NOUN	NN	Number=Sing	13	nmod	_	_
17	of	of	ADP	IN	_	21	case	_	_
18	machine	machine	NOUN	NN	Number=Sing	20	compound	_	SpaceAfter=No
19	-	-	PUNCT	HYPH	_	18	punct	_	SpaceAfter=No
20	written	write	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	21	amod	_	_
21	text	text	NOUN	NN	Number=Sing	16	nmod	_	SpaceAfter=No
22	.	.	PUNCT	.	_	1	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **select** | imperative | you *not said here* | the response |  |  |  |  | vn obtain-13.5.2 «NP V NP»: agent=Agent response=Theme |
| 2 | **is** | present | the response |  |  |  |  | with the established facts; consistent *property* | tree rules |
| 3 | **establish** | participle |  |  |  |  |  |  | vn indicate-78-1-1 «NP V NP to be NP»: agent=Pivot |
| 4 | **concern** | gerund | the established facts *not said here* | automated tools |  |  |  | for the detection of written text | vn amuse-31.1 «NP V NP»: agent=Stimulus tool=Experiencer |
| 5 | **write** | participle |  |  |  |  |  |  | vn scribble-25.2-1 «NP V»: agent=Agent |
| 6 | **detect** |  |  | written text |  |  |  |  | nom detection «cognition transitive»: of=patient |

<!-- .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.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
They detect only errors of spelling

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:e3:o1:1
# text = They detect only errors of spelling
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	2	nsubj	_	_
2	detect	detect	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	only	only	ADV	RB	_	4	advmod	_	_
4	errors	error	NOUN	NNS	Number=Plur	2	obj	_	_
5	of	of	ADP	IN	_	6	case	_	_
6	spelling	spelling	NOUN	NN	Number=Sing	4	nmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **detect** | present | They | errors of spelling |  |  |  |  | vn see-30.1-1 «NP V S»: agent=Experiencer error=Stimulus |
| 2 | **err** |  | spelling |  |  |  |  |  | nom error «act intransitive»: of=agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
They are operated by the pupils themselves

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:e3:o2:1
# text = They are operated by the pupils themselves
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	aux:pass	_	_
3	operated	operate	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
4	by	by	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	pupils	pupil	NOUN	NNS	Number=Plur	3	obl	_	_
7	themselves	themselves	PRON	PRP	Case=Acc|Number=Plur|Person=3|PronType=Prs|Reflex=Yes	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **operate** | present · passive | the pupils | They |  |  |  | pupils *= pupil* *obl* | vn function-105.2.1-1 «NP V NP PP»: agent=Theme subject=Attribute |

### Option 3 · ← Mova's choice · ✓ the right answer {#o3}

<!-- .ven lang=en -->
They are fallible and may wrongly accuse honest pupils

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:e3:o3:1
# text = They are fallible and may wrongly accuse honest pupils
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	fallible	fallible	ADJ	JJ	Degree=Pos	0	root	_	_
4	and	and	CCONJ	CC	_	7	cc	_	_
5	may	may	AUX	MD	VerbForm=Fin	7	aux	_	_
6	wrongly	wrongly	ADV	RB	_	7	advmod	_	_
7	accuse	accuse	VERB	VB	VerbForm=Inf	3	conj	_	_
8	honest	honest	ADJ	JJ	Degree=Pos	9	amod	_	_
9	pupils	pupil	NOUN	NNS	Number=Plur	7	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | They |  |  |  |  | fallible *property* | tree rules |
| 2 | **accuse** | may | They *not said here* | honest pupils |  |  |  | wrongly *property* | vn suspect-81 «NP V NP PP.attribute»: agent=Agent pupil=Theme |

### Option 4 {#o4}

<!-- .ven lang=en -->
They are infallible in every case

```conllu
# sent_id = question:ai:10-using-ai-to-learn-not-to-copy:e3:o4:1
# text = They are infallible in every case
1	They	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	3	nsubj	_	_
2	are	be	AUX	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	cop	_	_
3	infallible	infallible	ADJ	JJ	Degree=Pos	0	root	_	_
4	in	in	ADP	IN	_	6	case	_	_
5	every	every	DET	DT	PronType=Tot	6	det	_	_
6	case	case	NOUN	NN	Number=Sing	3	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | They |  |  | every case |  | infallible *property* | tree rules |

<!-- div src -->

**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **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 text read on its own. Elamur Cosmic License.

<!-- /div -->

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- ← previous: [Using AI to learn, not to copy, exam 2](https://md.mova.elamur.ai/free/en/corpora/questions/ai/10-using-ai-to-learn-not-to-copy/e2/)
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