---
title: AI already works quietly in lots of grown-up jobs: it translates let… — Cars, doctors, scientists and translators · tree and pragmatics
description: AI already works quietly in lots of grown-up jobs: it translates letters, reads menus aloud, writes captions, sorts emails and carries plates in some restaurants. Who acts: AI. A sentence of the lesson «Cars, doctors, scientists and translators» of the ai course of Mova's primary school with its dep
---

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# Cars, doctors, scientists and translators, sentence 0

<!-- .ven lang=en -->
AI already works quietly in lots of grown-up jobs: it translates letters, reads menus aloud, writes captions, sorts emails and carries plates in some restaurants.

<!-- .vintro -->
**Who acts:** AI · **What happens:** work, grow, translate, read, write, sort · **To what, where:** letters, menus, captions, emails, plates, restaurants

<!-- .vabout -->
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 (AI), 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:0
# text = AI already works quietly in lots of grown-up jobs: it translates letters, reads menus aloud, writes captions, sorts emails and carries plates in some restaurants.
# 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): R5-strong ×1, R7-rel-agree ×1, R8-pos-agree ×1
1	AI	ai	NOUN	NN	Number=Sing	3	nsubj	_	Agree=R8-pos-agree|Haiku=3:nsubj|HaikuPos=PROPN:NNP:_
2	already	already	ADV	RB	_	3	advmod	_	_
3	works	work	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	quietly	quietly	ADV	RB	_	3	advmod	_	_
5	in	in	ADP	IN	_	6	case	_	_
6	lots	lot	NOUN	NNS	Number=Plur	3	obl	_	_
7	of	of	ADP	IN	_	11	case	_	_
8	grown	grow	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	11	amod	_	_
9	-	-	PUNCT	HYPH	_	8	punct	_	_
10	up	up	NOUN	NN	Number=Sing	8	compound	_	Agree=R5-strong|Haiku=11:compound
11	jobs	job	NOUN	NNS	Number=Plur	6	nmod	_	_
12	:	:	PUNCT	:	_	14	punct	_	_
13	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	14	nsubj	_	_
14	translates	translate	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	parataxis	_	Agree=R7-rel-agree|Haiku=3:conj
15	letters	letter	NOUN	NNS	Number=Plur	14	obj	_	_
16	,	,	PUNCT	,	_	17	punct	_	_
17	reads	read	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	14	conj	_	_
18	menus	menu	NOUN	NNS	Number=Plur	17	obj	_	_
19	aloud	aloud	ADV	RB	_	17	advmod	_	_
20	,	,	PUNCT	,	_	21	punct	_	_
21	writes	write	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	3	conj	_	_
22	captions	caption	NOUN	NNS	Number=Plur	21	obj	_	_
23	,	,	PUNCT	,	_	24	punct	_	_
24	sorts	sort	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	21	conj	_	_
25	emails	email	NOUN	NNS	Number=Plur	24	obj	_	_
26	and	and	CCONJ	CC	_	27	cc	_	_
27	carries	carry	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	24	conj	_	_
28	plates	plate	NOUN	NNS	Number=Plur	27	obj	_	_
29	in	in	ADP	IN	_	31	case	_	_
30	some	some	DET	DT	PronType=Ind	31	det	_	_
31	restaurants	restaurant	NOUN	NNS	Number=Plur	27	obl	_	_
32	.	.	PUNCT	.	_	3	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 | **work** | present | AI |  |  |  |  | in lots of grown jobs; quietly *property* | vn employment-95.3 «NP V PP.theme»: agent=Agent in lot=Theme |
| 2 | **grow** | participle |  |  |  |  |  |  | vn appear-48.1.1 «NP V»: agent=Theme |
| 3 | **translate** | present | AI | letters |  |  |  |  | vn turn-26.6.1 «NP V NP»: agent=Agent letter=Patient |
| 4 | **read** | present | AI *not said here* | menus |  |  |  | aloud *property* | vn transfer\_mesg-37.1.1-1 «NP V NP»: agent=Agent menu=Topic |
| 5 | **write** | present | AI *not said here* | captions |  |  |  |  | vn scribble-25.2-1 «NP V NP»: agent=Agent caption=Theme |
| 6 | **sort** | present | AI *not said here* | emails |  |  |  |  | vn classify-29.10 «NP V NP»: agent=Agent email=Theme |
| 7 | **carry** | present | AI *not said here* | plates |  | some restaurants |  |  | vn fit-54.3 «NP V NP PP.location»: agent=Agent plate=Value in restaurant=Location |

<!-- .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:0`.

**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): R5-strong ×1, R7-rel-agree ×1, R8-pos-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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