---
title: Map apps guess traffic from data sent by many phones and can suggest… — Voice assistants and recommendations · tree and pragmatics
description: Map apps guess traffic from data sent by many phones and can suggest a faster route. Who acts: Map apps. A sentence of the lesson «Voice assistants and recommendations» of the ai course of Mova's primary school with its dependency tree and the pragmatics of every clause.
---

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# Voice assistants and recommendations, sentence 15

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Map apps guess traffic from data sent by many phones and can suggest a faster route.

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**Who acts:** Map apps · **What happens:** guess, send, suggest · **To what, where:** traffic, data, faster route

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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 (Map apps), 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:15
# text = Map apps guess traffic from data sent by many phones and can suggest a faster route.
# 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 ×1
1	Map	map	NOUN	NN	Number=Sing	2	compound	_	_
2	apps	app	NOUN	NNS	Number=Plur	3	nsubj	_	_
3	guess	guess	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
4	traffic	traffic	NOUN	NN	Number=Sing	3	obj	_	_
5	from	from	ADP	IN	_	6	case	_	_
6	data	data	NOUN	NN	Number=Sing	4	nmod	_	_
7	sent	send	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	6	acl	_	_
8	by	by	ADP	IN	_	10	case	_	_
9	many	many	ADJ	JJ	Degree=Pos	10	amod	_	_
10	phones	phone	NOUN	NNS	Number=Plur	7	obl:agent	_	_
11	and	and	CCONJ	CC	_	13	cc	_	_
12	can	can	AUX	MD	VerbForm=Fin	13	aux	_	_
13	suggest	suggest	VERB	VB	VerbForm=Inf	3	conj	_	Agree=R5-strong|Haiku=7:conj
14	a	a	DET	DT	Definite=Ind|PronType=Art	16	det	_	_
15	faster	fast	ADJ	JJR	Degree=Cmp	16	amod	_	_
16	route	route	NOUN	NN	Number=Sing	13	obj	_	_
17	.	.	PUNCT	.	_	3	punct	_	_
```

## Pragmatics {#pragmatics}

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- 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 | **guess** | present | Map apps | traffic |  | data |  |  | vn conjecture-29.5-1 «NP V NP»: agent=Agent traffic=Theme |
| 2 | **send** | participle |  | data *not said here* |  |  |  |  | vn confine-92-1 «NP V NP»: agent=Agent |
| 3 | **suggest** *speech: suggest* | can | Map apps *not said here* | a faster route |  |  |  |  | vn say-37.7-1-1-1 «NP V NP.topic»: agent=Agent route=Topic |

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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:017-voice-assistants-recommendations.lesson:15`.

**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. **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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- ← previous: [Voice assistants and recommendations, 14](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/14/)
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- ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/ai/17-voice-assistants-recommendations/)