---
title: "translator app did my nan's letter from the council, its fine yeah?… — Cars, doctors, scientists and translat… · tree and pragmatics
description: "translator app did my nan's letter from the council, its fine yeah?" Best reply? Test 1 of lesson 18 «Cars, doctors, scientists and translators» of the AI course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was right.
---

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# Test 1 · Cars, doctors, scientists and translators

<!-- .ven lang=en -->
"translator app did my nan's letter from the council, its fine yeah?" Best reply?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** translator app, nan · **What happens:** do, letter · **To what, where:** letter, council

<!-- .vabout -->
This is test 1 of lesson 18 «Cars, doctors, scientists and translators» of the AI course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: [the test at school](https://md.mova.elamur.ai/free/en/school-run/ai/18-cars-doctors-translators/#t1).

## The question {#question}

<!-- .note -->
*Sentence 1:* "translator app did my nan's letter from the council, its fine yeah?"

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t1:1
# text = "translator app did my nan's letter from the council, its fine yeah?"
1	"	"	PUNCT	``	_	4	punct	_	SpaceAfter=No
2	translator	translator	NOUN	NN	Number=Sing	3	compound	_	_
3	app	app	NOUN	NN	Number=Sing	4	nsubj	_	_
4	did	do	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	6	nmod:poss	_	_
6	nan	nan	NOUN	NN	Number=Sing	8	nmod:poss	_	SpaceAfter=No
7	's	's	PART	POS	_	6	case	_	_
8	letter	letter	NOUN	NN	Number=Sing	4	obj	_	_
9	from	from	ADP	IN	_	11	case	_	_
10	the	the	DET	DT	Definite=Def|PronType=Art	11	det	_	_
11	council	council	NOUN	NN	Number=Sing	8	nmod	_	SpaceAfter=No
12	,	,	PUNCT	,	_	14	punct	_	_
13	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	14	nmod:poss	_	_
14	fine	fine	ADJ	JJ	Degree=Pos	4	conj	_	_
15	yeah	yeah	INTJ	UH	_	14	discourse	_	SpaceAfter=No
16	?	?	PUNCT	.	_	4	punct	_	SpaceAfter=No
17	"	"	PUNCT	''	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** *in a quote* | past | translator app | my nan's letter |  | the council |  |  | vn act-114-1 «NP V NP»: agent=Agent letter=Eventuality |
| 2 | **letter** *in a quote* |  | my nan |  |  | the council |  |  | nom letter «communication transitive»: poss=agent from=place |

<!-- .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.

<!-- .note -->
*Sentence 2:* Best reply?

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t1:2
# text = Best reply?
1	Best	good	ADJ	JJS	Degree=Sup	2	amod	_	_
2	reply	reply	NOUN	NN	Number=Sing	0	root	_	SpaceAfter=No
3	?	?	PUNCT	.	_	2	punct	_	_
```

<!-- .note -->
The frames reader finds no event or fact in this sentence.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Yes, councils write in robot language anyway

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t1:o1:1
# text = Yes, councils write in robot language anyway
1	Yes	yes	INTJ	UH	Polarity=Pos	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	councils	council	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	write	write	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	in	in	ADP	IN	_	7	case	_	_
6	robot	robot	NOUN	NN	Number=Sing	7	compound	_	_
7	language	language	NOUN	NN	Number=Sing	4	obl	_	_
8	anyway	anyway	ADV	RB	_	4	advmod	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **write** | present | councils |  |  | robot language |  | anyway *property* | vn scribble-25.2-1 «NP V NP PP.destination»: agent=Agent in language=Destination |

### Option 2 {#o2}

<!-- .ven lang=en -->
Yes, translator apps never make mistakes

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t1:o2:1
# text = Yes, translator apps never make mistakes
1	Yes	yes	INTJ	UH	Polarity=Pos	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	translator	translator	NOUN	NN	Number=Sing	4	compound	_	_
4	apps	app	NOUN	NNS	Number=Plur	6	nsubj	_	_
5	never	never	ADV	RB	PronType=Neg	6	advmod	_	_
6	make	make	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
7	mistakes	mistake	NOUN	NNS	Number=Plur	6	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **not** **make** | present | translator apps | mistakes |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset mistake=Product |

### Option 3 · ← Mova's choice · ✓ the right answer {#o3}

<!-- .ven lang=en -->
For something important, get a person who speaks both languages to check

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t1:o3:1
# text = For something important, get a person who speaks both languages to check
1	For	for	ADP	IN	_	2	case	_	_
2	something	something	PRON	NN	Number=Sing|PronType=Ind	5	obl	_	_
3	important	important	ADJ	JJ	Degree=Pos	2	amod	_	SpaceAfter=No
4	,	,	PUNCT	,	_	2	punct	_	_
5	get	get	VERB	VB	Mood=Imp|VerbForm=Fin	0	root	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	person	person	NOUN	NN	Number=Sing	5	obj	_	_
8	who	who	PRON	WP	PronType=Rel	9	nsubj	_	_
9	speaks	speak	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	acl:relcl	_	_
10	both	both	DET	DT	PronType=Tot	11	det	_	_
11	languages	language	NOUN	NNS	Number=Plur	9	obj	_	_
12	to	to	PART	TO	_	13	mark	_	_
13	check	check	VERB	VB	VerbForm=Inf	9	advcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **get** | imperative | you *not said here* | a person |  |  |  | for something | vn get-13.5.1-1 «NP V NP PP.source»: agent=Agent person=Theme for something=Source |
| 2 | **speak** *speech: other* | present | a person | both languages |  |  |  |  | tree rules |
| 3 | **check** | to-infinitive | a person *not said here* |  |  |  |  |  | vn assessment-34.1 «NP V NP»: agent=Agent |

### Option 4 {#o4}

<!-- .ven lang=en -->
No, translator apps only work for short words, not for whole letters

```conllu
# sent_id = question:ai:18-cars-doctors-translators:t1:o4:1
# text = No, translator apps only work for short words, not for whole letters
1	No	no	INTJ	UH	Polarity=Neg	4	discourse	_	SpaceAfter=No
2	,	,	PUNCT	,	_	1	punct	_	_
3	translator	translator	NOUN	NN	Number=Sing	4	compound	_	_
4	apps	app	NOUN	NNS	Number=Plur	6	nsubj	_	_
5	only	only	ADV	RB	_	6	advmod	_	_
6	work	work	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
7	for	for	ADP	IN	_	9	case	_	_
8	short	short	ADJ	JJ	Degree=Pos	9	amod	_	_
9	words	word	NOUN	NNS	Number=Plur	6	obl	_	SpaceAfter=No
10	,	,	PUNCT	,	_	14	punct	_	_
11	not	not	PART	RB	Polarity=Neg	14	advmod	_	_
12	for	for	ADP	IN	_	14	case	_	_
13	whole	whole	ADJ	JJ	Degree=Pos	14	amod	_	_
14	letters	letter	NOUN	NNS	Number=Plur	6	obl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **work** | present | translator apps |  |  |  |  | for short words; for whole letters | vn employment-95.3 «NP V PP.beneficiary»: agent=Agent for word=Beneficiary |

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**Text:** the tests of Mova's primary school, written for Mova (`world/data/school/`), as the course runner gave them to the student. **Trees:** Mova's own parse — the `en` model on the CPU, when the site is built — not checked by a teacher; they may be wrong. **Frames:** Mova's frames reader (`prag`), each text read on its own. Elamur Cosmic License.

<!-- /div -->

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