---
title: Nobody typed the chatbot's answers in one by one; each answer is pro… — What is AI? Pattern-guessers, not people · tree and pragmatics
description: Nobody typed the chatbot's answers in one by one; each answer is produced fresh when you ask. Who acts: Nobody, you, chatbot. A sentence of the lesson «What is AI? Pattern-guessers, not people» of the ai course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# What is AI? Pattern-guessers, not people, sentence 10

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Nobody typed the chatbot's answers in one by one; each answer is produced fresh when you ask.

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**Who acts:** Nobody, you, chatbot · **What happens:** type, produce, ask, answer · **To what, where:** answers, answer

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This is a sentence of the lesson «What is AI? Pattern-guessers, not people» 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 (Nobody, you, chatbot), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:001-what-is-ai.lesson:10
# text = Nobody typed the chatbot's answers in one by one; each answer is produced fresh when you ask.
# source = school lesson (ours)
# course = ai
# lesson = 001-what-is-ai.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): R7-rel-agree ×1
1	Nobody	nobody	PRON	NN	Number=Sing|PronType=Neg	2	nsubj	_	_
2	typed	type	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	the	the	DET	DT	Definite=Def|PronType=Art	4	det	_	_
4	chatbot	chatbot	NOUN	NN	Number=Sing	6	nmod:poss	_	_
5	's	's	PART	POS	_	4	case	_	_
6	answers	answer	NOUN	NNS	Number=Plur	2	obj	_	_
7	in	in	ADP	IN	_	8	case	_	_
8	one	one	NUM	CD	NumForm=Word|NumType=Card	2	obl	_	_
9	by	by	ADP	IN	_	10	case	_	_
10	one	one	NUM	CD	NumForm=Word|NumType=Card	8	nmod	_	_
11	;	;	PUNCT	:	_	15	punct	_	_
12	each	each	DET	DT	PronType=Tot	13	det	_	_
13	answer	answer	NOUN	NN	Number=Sing	15	nsubj:pass	_	_
14	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	15	aux:pass	_	_
15	produced	produce	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	2	parataxis	_	Agree=R7-rel-agree|Haiku=2:conj
16	fresh	fresh	ADV	RB	_	15	advmod	_	_
17	when	when	ADV	WRB	PronType=Int	19	advmod	_	_
18	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	19	nsubj	_	_
19	ask	ask	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	15	advcl	_	_
20	.	.	PUNCT	.	_	2	punct	_	_
```

## Pragmatics {#pragmatics}

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No stored speech act for this sentence.

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **type** | past | Nobody | the chatbot's answers |  |  |  | in one by one | vn scribble-25.2-1 «NP V NP PP.destination»: agent=Agent answer=Theme in one=Destination |
| 2 | **produce** | present · passive |  | each answer |  |  |  | fresh *property* | vn create-26.4 «NP V NP»: subject=Result |
| 3 | **ask** *speech: ask* | present | you |  |  |  |  |  | vn inquire-37.1.2 «NP V»: agent=Agent |
| 4 | **answer** |  | the chatbot |  |  |  |  |  | nom answer «communication transitive»: poss=agent |

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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:001-what-is-ai.lesson:10`.

**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): R7-rel-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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