---
title: Translation tools help families who speak other languages understand… — Cars, doctors, scientists and translators · tree and pragmatics
description: Translation tools help families who speak other languages understand letters, but they can make mistakes. Who acts: Translation tools, families, tools. A sentence of the lesson «Cars, doctors, scientists and translators» of the ai course of Mova's primary school with its dependency tree and the prag
---

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# Cars, doctors, scientists and translators, sentence 6

<!-- .ven lang=en -->
Translation tools help families who speak other languages understand letters, but they can make mistakes.

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**Who acts:** Translation tools, families, tools · **What happens:** help, speak, understand, make · **To what, where:** families, other languages, letters, mistakes · **Speech:** someone speaks here

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This is a sentence of the lesson «Cars, doctors, scientists and translators» 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 (Translation tools, families, tools), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:018-cars-doctors-translators.lesson:6
# text = Translation tools help families who speak other languages understand letters, but they can make mistakes.
# source = school lesson (ours)
# course = ai
# lesson = 018-cars-doctors-translators.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	Translation	translation	NOUN	NN	Number=Sing	2	compound	_	_
2	tools	tool	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	help	help	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	families	family	NOUN	NNS	Number=Plur	3	obj	_	_
5	who	who	PRON	WP	PronType=Rel	6	nsubj	_	_
6	speak	speak	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	acl:relcl	_	_
7	other	other	ADJ	JJ	Degree=Pos	8	amod	_	_
8	languages	language	NOUN	NNS	Number=Plur	6	obj	_	_
9	understand	understand	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	3	xcomp	_	_
10	letters	letter	NOUN	NNS	Number=Plur	9	obj	_	_
11	,	,	PUNCT	,	_	15	punct	_	_
12	but	but	CCONJ	CC	_	15	cc	_	_
13	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	15	nsubj	_	_
14	can	can	AUX	MD	VerbForm=Fin	15	aux	_	_
15	make	make	VERB	VB	VerbForm=Inf	3	conj	_	Agree=R7-rel-agree|Haiku=3:parataxis
16	mistakes	mistake	NOUN	NNS	Number=Plur	15	obj	_	_
17	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

<!-- sa -->
- form: statement
- act: assert
- voice: narrator
- polarity: none
- teacher: kept the draft

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| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **help** | present | Translation tools | families |  |  |  |  | vn help-72.1-1-1 «NP V NP S\_INF»: agent=Agent family=Beneficiary clause=Theme |
| 2 | **speak** *speech: other* | present | families | other languages |  |  |  |  | tree rules |
| 3 | **understand** | present | families *not said here* | letters |  |  |  |  | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer letter=Stimulus |
| 4 | **make** | can | tools *= tool* | mistakes |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset mistake=Product |

<!-- .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:018-cars-doctors-translators.lesson:6`.

**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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