---
title: Bots translate short, common phrases well and long or tricky message… — Why the bot agrees too easily · tree and pragmatics
description: Bots translate short, common phrases well and long or tricky messages less well. Who acts: Bots. A sentence of the lesson «Why the bot agrees too easily» of the ai course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# Why the bot agrees too easily, sentence 13

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Bots translate short, common phrases well and long or tricky messages less well.

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**Who acts:** Bots · **What happens:** translate · **To what, where:** short common phrases

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This is a sentence of the lesson «Why the bot agrees too easily» 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 (Bots), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:006-why-the-bot-agrees-too-easily.lesson:13
# text = Bots translate short, common phrases well and long or tricky messages less well.
# source = school lesson (ours)
# course = ai
# lesson = 006-why-the-bot-agrees-too-easily.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): R1-cc-next ×1, R5-strong ×2
1	Bots	bot	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	translate	translate	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	short	short	ADJ	JJ	Degree=Pos	6	amod	_	_
4	,	,	PUNCT	,	_	3	punct	_	_
5	common	common	ADJ	JJ	Degree=Pos	6	amod	_	_
6	phrases	phrase	NOUN	NNS	Number=Plur	2	obj	_	_
7	well	well	ADV	RB	Degree=Pos	2	advmod	_	_
8	and	and	CCONJ	CC	_	9	cc	_	_
9	long	long	ADJ	JJ	Degree=Pos	12	amod	_	_
10	or	or	CCONJ	CC	_	11	cc	_	Agree=R1-cc-next|Haiku=9:cc
11	tricky	tricky	ADJ	JJ	Degree=Pos	9	conj	_	_
12	messages	message	NOUN	NNS	Number=Plur	2	obj	_	_
13	less	less	ADV	RBR	Degree=Cmp	14	advmod	_	Agree=R5-strong|Haiku=2:advmod
14	well	well	ADV	RB	Degree=Pos	2	advmod	_	Agree=R5-strong|Haiku=13:advmod
15	.	.	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 | **translate** | present | Bots | short common phrases |  |  |  | well *property* | tree rules |

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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:006-why-the-bot-agrees-too-easily.lesson:13`.

**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): R1-cc-next ×1, R5-strong ×2. **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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