---
title: How you talk to machines can become how you talk to people. — Stories, jokes and riddles with a chatbot · tree and pragmatics
description: How you talk to machines can become how you talk to people. Who acts: you. A sentence of the lesson «Stories, jokes and riddles with a chatbot» of the ai course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# Stories, jokes and riddles with a chatbot, sentence 16

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How you talk to machines can become how you talk to people.

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**Who acts:** you · **What happens:** talk, become

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This is a sentence of the lesson «Stories, jokes and riddles with a chatbot» 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), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:004-stories-jokes-and-riddles.lesson:16
# text = How you talk to machines can become how you talk to people.
# source = school lesson (ours)
# course = ai
# lesson = 004-stories-jokes-and-riddles.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	How	how	ADV	WRB	PronType=Int	3	advmod	_	_
2	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	3	nsubj	_	_
3	talk	talk	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	7	csubj	_	_
4	to	to	ADP	IN	_	5	case	_	_
5	machines	machine	NOUN	NNS	Number=Plur	3	obl	_	_
6	can	can	AUX	MD	VerbForm=Fin	7	aux	_	_
7	become	become	VERB	VB	VerbForm=Inf	0	root	_	_
8	how	how	ADV	WRB	PronType=Int	10	advmod	_	_
9	you	you	PRON	PRP	Case=Nom|Person=2|PronType=Prs	10	nsubj	_	_
10	talk	talk	VERB	VBP	Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin	7	ccomp	_	_
11	to	to	ADP	IN	_	12	case	_	_
12	people	people	NOUN	NNS	Number=Plur	10	obl	_	_
13	.	.	PUNCT	.	_	7	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 | **talk** | present | you |  |  |  |  | to machines | vn talk-37.5 «NP V PP.co-agent»: agent=Agent to machine=Co-Agent |
| 2 | **become** | can |  |  |  |  |  |  | tree rules |
| 3 | **talk** | present | you |  |  |  |  | to people | vn talk-37.5 «NP V PP.co-agent»: agent=Agent to people=Co-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:004-stories-jokes-and-riddles.lesson:16`.

**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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