---
title: Face recognition looks for patterns in faces, so very similar faces,… — Voice assistants and recommendations · tree and pragmatics
description: Face recognition looks for patterns in faces, so very similar faces, such as identical twins, can sometimes fool it; adding a PIN makes a phone safer. Who acts: Face recognition, similar faces. A sentence of the lesson «Voice assistants and recommendations» of the ai course of Mova's primary school 
---

<!-- md -->
[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/10/)

<!-- crumbs -->
[home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [AI](https://md.mova.elamur.ai/free/en/corpora/school/ai/) / [Voice assistants and recommendations](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/) / 10

# Voice assistants and recommendations, sentence 10

<!-- .ven lang=en -->
Face recognition looks for patterns in faces, so very similar faces, such as identical twins, can sometimes fool it; adding a PIN makes a phone safer.

<!-- .vintro -->
**Who acts:** Face recognition, similar faces · **What happens:** look, fool, add, make · **To what, where:** recognition, PIN, phone · **Speech:** someone speaks here

<!-- .vabout -->
This is a sentence of the lesson «Voice assistants and recommendations» 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 (Face recognition, similar faces), what happens, when and where, as Mova's frames read it from the tree.

## The tree {#tree}

```conllu
# sent_id = school:ai:017-voice-assistants-recommendations.lesson:10
# text = Face recognition looks for patterns in faces, so very similar faces, such as identical twins, can sometimes fool it; adding a PIN makes a phone safer.
# source = school lesson (ours)
# course = ai
# lesson = 017-voice-assistants-recommendations.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 ×3
1	Face	face	NOUN	NN	Number=Sing	2	compound	_	_
2	recognition	recognition	NOUN	NN	Number=Sing	3	nsubj	_	_
3	looks	look	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	for	for	ADP	IN	_	5	case	_	_
5	patterns	pattern	NOUN	NNS	Number=Plur	3	obl	_	_
6	in	in	ADP	IN	_	7	case	_	_
7	faces	face	NOUN	NNS	Number=Plur	5	nmod	_	_
8	,	,	PUNCT	,	_	12	punct	_	_
9	so	so	ADV	RB	_	12	advmod	_	_
10	very	very	ADV	RB	_	11	advmod	_	_
11	similar	similar	ADJ	JJ	Degree=Pos	12	amod	_	_
12	faces	face	NOUN	NNS	Number=Plur	21	nsubj	_	Agree=R5-strong|Haiku=5:conj
13	,	,	PUNCT	,	_	17	punct	_	_
14	such	such	ADJ	JJ	Degree=Pos|ExtPos=ADP	17	case	_	_
15	as	as	ADP	IN	_	14	fixed	_	_
16	identical	identical	ADJ	JJ	Degree=Pos	17	amod	_	_
17	twins	twin	NOUN	NNS	Number=Plur	12	nmod	_	_
18	,	,	PUNCT	,	_	21	punct	_	_
19	can	can	AUX	MD	VerbForm=Fin	21	aux	_	_
20	sometimes	sometimes	ADV	RB	_	21	advmod	_	_
21	fool	fool	VERB	VB	Mood=Imp|VerbForm=Fin	3	parataxis	_	_
22	it	it	PRON	PRP	Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs	21	obj	_	_
23	;	;	PUNCT	:	_	24	punct	_	_
24	adding	add	VERB	VBG	Tense=Pres|VerbForm=Part	3	advcl	_	_
25	a	a	DET	DT	Definite=Ind|PronType=Art	26	det	_	_
26	PIN	pin	NOUN	NN	Number=Sing	24	obj	_	Agree=R5-strong|Haiku=27:nsubj
27	makes	make	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	24	ccomp	_	_
28	a	a	DET	DT	Definite=Ind|PronType=Art	29	det	_	_
29	phone	phone	NOUN	NN	Number=Sing	27	obj	_	_
30	safer	safe	ADJ	JJR	Degree=Cmp	27	xcomp	_	Agree=R5-strong|Haiku=29:amod
31	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

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

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **look** | present | Face recognition |  |  |  |  | for patterns in faces | vn rummage-35.5 «NP V PP.location PP.theme»: agent=Agent for pattern=Theme |
| 2 | **fool** | can | similar faces such identical twins | recognition |  |  |  | sometimes *property* | vn trick-59.2 «NP V NP»: agent=Agent it=Patient |
| 3 | **add** *speech: assert* | gerund | Face recognition *not said here* | a PIN |  |  |  |  | tree rules |
| 4 | **make** | present |  | a phone |  |  |  | safe *property* | vn build-26.1-1 «NP.asset V NP»: agent=Asset phone=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.

<!-- div src -->

**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:017-voice-assistants-recommendations.lesson:10`.

**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 ×3. **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/).

<!-- /div -->

<!-- pn -->
- ← previous: [Voice assistants and recommendations, 9](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/9/)
- next →: [Voice assistants and recommendations, 11](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/11/)
- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/)

