---
title: And remember a teacher can turn the bot into a lesson: find the thre… — Using AI to learn, not to copy · tree and pragmatics
description: And remember a teacher can turn the bot into a lesson: find the three mistakes in its history answer, and you become an expert mistake-spotter. Who acts: you, teacher. A sentence of the lesson «Using AI to learn, not to copy» of the ai course of Mova's primary school with its dependency tree and the
---

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# Using AI to learn, not to copy, sentence 8

<!-- .ven lang=en -->
And remember a teacher can turn the bot into a lesson: find the three mistakes in its history answer, and you become an expert mistake-spotter.

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**Who acts:** you, teacher · **What happens:** remember, turn, find, become, answer · **To what, where:** bot, lesson, three mistakes, history answer, expert mistake spotter · **Speech:** someone speaks here

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This is a sentence of the lesson «Using AI to learn, not to copy» 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 (you, teacher), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:010-using-ai-to-learn-not-to-copy.lesson:8
# text = And remember a teacher can turn the bot into a lesson: find the three mistakes in its history answer, and you become an expert mistake-spotter.
# source = school lesson (ours)
# course = ai
# lesson = 010-using-ai-to-learn-not-to-copy.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): no change
1	And	and	CCONJ	CC	_	2	cc	_	_
2	remember	remember	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	teacher	teacher	NOUN	NN	Number=Sing	6	nsubj	_	_
5	can	can	AUX	MD	VerbForm=Fin	6	aux	_	_
6	turn	turn	VERB	VB	VerbForm=Inf	2	ccomp	_	_
7	the	the	DET	DT	Definite=Def|PronType=Art	8	det	_	_
8	bot	bot	NOUN	NN	Number=Sing	6	obj	_	_
9	into	into	ADP	IN	_	11	case	_	_
10	a	a	DET	DT	Definite=Ind|PronType=Art	11	det	_	_
11	lesson	lesson	NOUN	NN	Number=Sing	6	obl	_	_
12	:	:	PUNCT	:	_	13	punct	_	_
13	find	find	VERB	VB	Mood=Imp|VerbForm=Fin	2	conj	_	_
14	the	the	DET	DT	Definite=Def|PronType=Art	16	det	_	_
15	three	three	NUM	CD	NumForm=Word|NumType=Card	16	nummod	_	_
16	mistakes	mistake	NOUN	NNS	Number=Plur	13	obj	_	_
17	in	in	ADP	IN	_	20	case	_	_
18	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	20	nmod:poss	_	_
19	history	history	NOUN	NN	Number=Sing	20	compound	_	_
20	answer	answer	NOUN	NN	Number=Sing	16	nmod	_	_
21	,	,	PUNCT	,	_	24	punct	_	_
22	and	and	CCONJ	CC	_	24	cc	_	_
23	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	24	nsubj	_	_
24	become	become	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	13	conj	_	_
25	an	a	DET	DT	Definite=Ind|PronType=Art	29	det	_	_
26	expert	expert	ADJ	JJ	Degree=Pos	29	amod	_	_
27	mistake	mistake	NOUN	NN	Number=Sing	29	compound	_	_
28	-	-	PUNCT	HYPH	_	27	punct	_	_
29	spotter	spotter	NOUN	NN	Number=Sing	24	xcomp	_	_
30	.	.	PUNCT	.	_	2	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 | **remember** | imperative | you *not said here* |  |  |  |  |  | vn characterize-29.2-1-1 «NP V S\_ING»: agent=Agent clause=Theme |
| 2 | **turn** | can | a teacher | the bot |  | a lesson |  |  | vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent bot=Theme into lesson=Trajectory |
| 3 | **find** | infinitive | you *not said here* | the three mistakes |  | teacher's history answer |  |  | vn discover-84 «NP V NP»: agent=Agent mistake=Topic |
| 4 | **become** | present | you | a expert mistake spotter |  |  |  |  | vn become-109.1-1-1 «NP V PP.attribute»: agent=Patient |
| 5 | **answer** |  | teacher |  |  |  |  |  | nom answer «communication transitive»: 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:ai:010-using-ai-to-learn-not-to-copy.lesson:8`.

**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): no change. **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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