---
title: "my twin opened my phone with her face, rubbish phone or what" Best… — Voice assistants and recommendations · tree and pragmatics
description: "my twin opened my phone with her face, rubbish phone or what" Best reply? Test 5 of lesson 17 «Voice assistants and recommendations» 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 5 · Voice assistants and recommendations

<!-- .ven lang=en -->
"my twin opened my phone with her face, rubbish phone or what" Best reply?

<!-- .vintro -->
**Mova's choice:** option 3 · **The right answer:** option 3 · right ✓ · **Who acts:** twin · **What happens:** open · **To what, where:** phone

<!-- .vabout -->
This is test 5 of lesson 17 «Voice assistants and recommendations» 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/17-voice-assistants-recommendations/#t5).

## The question {#question}

```conllu
# sent_id = question:ai:17-voice-assistants-recommendations:t5:1
# text = "my twin opened my phone with her face, rubbish phone or what" Best reply?
1	"	"	PUNCT	``	_	4	punct	_	SpaceAfter=No
2	my	my	PRON	PRP$	Case=Gen|Number=Sing|Person=1|Poss=Yes|PronType=Prs	3	nmod:poss	_	_
3	twin	twin	NOUN	NN	Number=Sing	4	nsubj	_	_
4	opened	open	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	phone	phone	NOUN	NN	Number=Sing	4	obj	_	_
7	with	with	ADP	IN	_	9	case	_	_
8	her	her	PRON	PRP$	Case=Gen|Gender=Fem|Number=Sing|Person=3|Poss=Yes|PronType=Prs	9	nmod:poss	_	_
9	face	face	NOUN	NN	Number=Sing	4	obl	_	SpaceAfter=No
10	,	,	PUNCT	,	_	12	punct	_	_
11	rubbish	rubbish	NOUN	NN	Number=Sing	12	compound	_	_
12	phone	phone	NOUN	NN	Number=Sing	9	conj	_	_
13	or	or	CCONJ	CC	_	14	cc	_	_
14	what	what	PRON	WP	PronType=Int	12	nmod	_	SpaceAfter=No
15	"	"	PUNCT	``	_	17	punct	_	_
16	Best	good	ADJ	JJS	Degree=Sup	17	amod	_	_
17	reply	reply	NOUN	NN	Number=Sing	14	nsubj	_	SpaceAfter=No
18	?	?	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **open** *in a quote* | past | my twin | my phone |  |  |  | with twin's face and rubbish phone  twin's face and rubbish phone  face | vn establish-55.5-1 «NP V NP PP.instrument»: agent=Agent phone=Patient with face=Instrument |

<!-- .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.

## The options {#options}

### Option 1 {#o1}

<!-- .ven lang=en -->
Your twin must have copied your fingerprints

```conllu
# sent_id = question:ai:17-voice-assistants-recommendations:t5:o1:1
# text = Your twin must have copied your fingerprints
1	Your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	2	nmod:poss	_	_
2	twin	twin	NOUN	NN	Number=Sing	5	nsubj:pass	_	_
3	must	must	AUX	MD	VerbForm=Fin	5	aux	_	_
4	have	have	AUX	VB	VerbForm=Inf	5	aux	_	_
5	copied	copy	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	0	root	_	_
6	your	your	PRON	PRP$	Case=Gen|Person=2|Poss=Yes|PronType=Prs	7	nmod:poss	_	_
7	fingerprints	fingerprint	NOUN	NNS	Number=Plur	5	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **copy** | must · perfect · passive |  | Your twin |  |  |  |  | tree rules |
| 2 | **fingerprint** |  | your |  |  |  |  |  | nom fingerprint «communication transitive»: poss=agent |

### Option 2 {#o2}

<!-- .ven lang=en -->
Phones always open for anyone who smiles

```conllu
# sent_id = question:ai:17-voice-assistants-recommendations:t5:o2:1
# text = Phones always open for anyone who smiles
1	Phones	phone	NOUN	NNS	Number=Plur	3	nsubj	_	_
2	always	always	ADV	RB	PronType=Tot	3	advmod	_	_
3	open	open	ADJ	JJ	Degree=Pos	0	root	_	_
4	for	for	ADP	IN	_	5	case	_	_
5	anyone	anyone	PRON	NN	Number=Sing|PronType=Ind	3	obl	_	_
6	who	who	PRON	WP	PronType=Rel	7	nsubj	_	_
7	smiles	smile	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	5	acl:relcl	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **smile** | present |  |  |  |  |  |  | vn manner\_speaking-37.3 «NP V»: agent=Agent |

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

<!-- .ven lang=en -->
Face unlock can mix up very similar faces, so add a PIN

```conllu
# sent_id = question:ai:17-voice-assistants-recommendations:t5:o3:1
# text = Face unlock can mix up very similar faces, so add a PIN
1	Face	face	NOUN	NN	Number=Sing	4	nsubj	_	_
2	unlock	unlock	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	1	acl:relcl	_	_
3	can	can	AUX	MD	VerbForm=Fin	4	aux	_	_
4	mix	mix	VERB	VB	VerbForm=Inf	0	root	_	_
5	up	up	ADP	RP	_	4	compound:prt	_	_
6	very	very	ADV	RB	_	7	advmod	_	_
7	similar	similar	ADJ	JJ	Degree=Pos	8	amod	_	_
8	faces	face	NOUN	NNS	Number=Plur	4	obj	_	SpaceAfter=No
9	,	,	PUNCT	,	_	11	punct	_	_
10	so	so	ADV	RB	_	11	advmod	_	_
11	add	add	VERB	VB	VerbForm=Inf	4	conj	_	_
12	a	a	DET	DT	Definite=Ind|PronType=Art	13	det	_	_
13	PIN	pin	NOUN	NN	Number=Sing	11	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **unlock** | present | Face *not said here* |  |  |  |  |  | vn disassemble-23.3 «NP V ADV-Middle»: agent=Patient |
| 2 | **mix up** | can | Face | similar faces |  |  |  |  | vn mix-22.1-1-1 «NP V NP»: agent=Agent face=Patient |
| 3 | **add** *speech: assert* | infinitive | Face *not said here* | a PIN |  |  |  |  | vn mix-22.1-2 «NP V NP»: agent=Agent pin=Patient |

### Option 4 {#o4}

<!-- .ven lang=en -->
The phone is fine, twins have identical brains

```conllu
# sent_id = question:ai:17-voice-assistants-recommendations:t5:o4:1
# text = The phone is fine, twins have identical brains
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	phone	phone	NOUN	NN	Number=Sing	4	nsubj	_	_
3	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	cop	_	_
4	fine	fine	ADJ	JJ	Degree=Pos	0	root	_	SpaceAfter=No
5	,	,	PUNCT	,	_	7	punct	_	_
6	twins	twin	NOUN	NNS	Number=Plur	7	nsubj	_	_
7	have	have	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	4	parataxis	_	_
8	identical	identical	ADJ	JJ	Degree=Pos	9	amod	_	_
9	brains	brain	NOUN	NNS	Number=Plur	7	obj	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **is** | present | the phone |  |  |  |  | fine *property* | tree rules |
| 2 | **have** | present | twins | identical brains |  |  |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent brain=Patient |

<!-- div src -->

**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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- ← previous: [Voice assistants and recommendations, test 4](https://md.mova.elamur.ai/free/en/corpora/questions/ai/17-voice-assistants-recommendations/t4/)
- next →: [Voice assistants and recommendations, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/ai/17-voice-assistants-recommendations/t6/)
- ↑ back to [Voice assistants and recommendations](https://md.mova.elamur.ai/free/en/corpora/questions/ai/17-voice-assistants-recommendations/)