---
title: lidar — school dictionary · trees and pragmatics
description: «lidar» in the school dictionary: A way of measuring distance by sending out quick flashes of laser light and timing how long they take to bounce back. Every meaning for a pupil with its dependency tree and pragmatics.
---

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# lidar

<!-- .vintro -->
**Who acts:** way, flashes, laser light, sensor, driving car, Scientists · **What happens:** measure, send out, take, bounce back, flash, do · **To what, where:** distance, quick flashes, this, spinning lidar, roof, lidar

<!-- .vabout -->
«lidar» in the school dictionary: its 2 meanings for a pupil and its 7 examples, every sentence parsed by Mova itself — its syntax tree, a dependency tree in the style of Universal Dependencies, and its pragmatics clause by clause. The word in the dictionary, with its sense in the lessons: [lidar in the school dictionary](https://md.mova.elamur.ai/free/en/dictionaries/school/w/lidar.md).

## Meaning 1 {#m1}

<!-- .ven lang=en -->
A way of measuring distance by sending out quick flashes of laser light and timing how long they take to bounce back.

<!-- fold The tree, 22 words -->
```conllu
# sent_id = dict:school:lidar:m1:1
# text = A way of measuring distance by sending out quick flashes of laser light and timing how long they take to bounce back.
1	A	a	DET	DT	Definite=Ind|PronType=Art	2	det	_	_
2	way	way	NOUN	NN	Number=Sing	0	root	_	_
3	of	of	SCONJ	IN	_	4	mark	_	_
4	measuring	measure	VERB	VBG	VerbForm=Ger	2	acl	_	_
5	distance	distance	NOUN	NN	Number=Sing	4	obj	_	_
6	by	by	SCONJ	IN	_	7	mark	_	_
7	sending	send	VERB	VBG	Tense=Pres|VerbForm=Part	4	advcl	_	_
8	out	out	ADP	RP	_	7	compound:prt	_	_
9	quick	quick	ADJ	JJ	Degree=Pos	10	amod	_	_
10	flashes	flash	NOUN	NNS	Number=Plur	7	obj	_	_
11	of	of	ADP	IN	_	13	case	_	_
12	laser	laser	NOUN	NN	Number=Sing	13	compound	_	_
13	light	light	NOUN	NN	Number=Sing	10	nmod	_	_
14	and	and	CCONJ	CC	_	15	cc	_	_
15	timing	timing	NOUN	NN	Number=Sing	13	conj	_	_
16	how	how	ADV	WRB	PronType=Int	17	advmod	_	_
17	long	long	ADV	RB	Degree=Pos	19	advmod	_	_
18	they	they	PRON	PRP	Case=Nom|Number=Plur|Person=3|PronType=Prs	19	nsubj	_	_
19	take	take	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	15	acl:relcl	_	_
20	to	to	PART	TO	_	21	mark	_	_
21	bounce	bounce	VERB	VB	VerbForm=Inf	19	advcl	_	_
22	back	back	ADV	RB	_	21	advmod	_	SpaceAfter=No
23	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **measure** | gerund | a way *not said here* | distance |  |  |  |  | vn register-54.1-2-1 «NP V NP.value»: agent=Theme distance=Value |
| 2 | **send out** | gerund | a way *not said here* | quick flashes of laser light and timing |  |  |  |  | vn confine-92-1 «NP V NP»: agent=Agent flash=Theme |
| 3 | **take** | present | flashes *= flash* |  |  |  |  | long *property* | vn bring-11.3 «NP V NP»: agent=Agent |
| 4 | **bounce back** | to-infinitive | flashes *= flash* *not said here* |  |  |  |  |  | vn run-51.3.2-2 «NP V»: agent=Theme |
| 5 | **flash** |  | laser light and timing |  |  |  |  |  | nom flash «event intransitive»: of=agent |

<!-- .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.

## Meaning 2 {#m2}

<!-- .ven lang=en -->
The machine or sensor that does this, as on a self-driving car or a survey plane.

<!-- fold The tree, 17 words -->
```conllu
# sent_id = dict:school:lidar:m2:1
# text = The machine or sensor that does this, as on a self-driving car or a survey plane.
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	machine	machine	NOUN	NN	Number=Sing	4	nsubj	_	_
3	or	or	CCONJ	CC	_	4	cc	_	_
4	sensor	sensor	NOUN	NN	Number=Sing	0	root	_	_
5	that	that	PRON	WDT	PronType=Rel	6	nsubj	_	_
6	does	do	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	4	acl:relcl	_	_
7	this	this	PRON	DT	Number=Sing|PronType=Dem	6	obj	_	SpaceAfter=No
8	,	,	PUNCT	,	_	6	punct	_	_
9	as	as	ADP	IN	_	15	case	_	_
10	on	on	ADP	IN	_	15	case	_	_
11	a	a	DET	DT	Definite=Ind|PronType=Art	15	det	_	_
12	self	self	NOUN	NN	Number=Sing	14	compound	_	SpaceAfter=No
13	-	-	PUNCT	HYPH	_	12	punct	_	SpaceAfter=No
14	driving	drive	VERB	VBG	VerbForm=Ger	15	amod	_	_
15	car	car	NOUN	NN	Number=Sing	6	obl	_	_
16	or	or	CCONJ	CC	_	19	cc	_	_
17	a	a	DET	DT	Definite=Ind|PronType=Art	19	det	_	_
18	survey	survey	NOUN	NN	Number=Sing	19	compound	_	_
19	plane	plane	NOUN	NN	Number=Sing	15	conj	_	SpaceAfter=No
20	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **do** | present | sensor | this |  |  |  | as a driving car or a survey plane | vn act-114-1 «NP V NP»: agent=Agent this=Eventuality |
| 2 | **drive** | gerund |  |  |  |  |  |  | vn nonvehicle-51.4.2-1 «NP.agent V»: agent=Agent |

## Example 1 {#x1}

<!-- .ven lang=en -->
The self-driving car has a spinning lidar on its roof.

```conllu
# sent_id = dict:school:lidar:x1:1
# text = The self-driving car has a spinning lidar on its roof.
1	The	the	DET	DT	Definite=Def|PronType=Art	5	det	_	_
2	self	self	NOUN	NN	Number=Sing	4	compound	_	SpaceAfter=No
3	-	-	PUNCT	HYPH	_	2	punct	_	SpaceAfter=No
4	driving	drive	VERB	VBG	VerbForm=Ger	5	amod	_	_
5	car	car	NOUN	NN	Number=Sing	6	nsubj	_	_
6	has	have	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
7	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
8	spinning	spin	VERB	VBG	VerbForm=Ger	9	amod	_	_
9	lidar	lidar	NOUN	NN	Number=Sing	6	obj	_	_
10	on	on	ADP	IN	_	12	case	_	_
11	its	its	PRON	PRP$	Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs	12	nmod:poss	_	_
12	roof	roof	NOUN	NN	Number=Sing	9	nmod	_	SpaceAfter=No
13	.	.	PUNCT	.	_	6	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **drive** | gerund |  |  |  |  |  |  | vn nonvehicle-51.4.2-1 «NP.agent V»: agent=Agent |
| 2 | **have** | present | the driving car | a spinning lidar |  | car's roof |  |  | vn birth-28.2-1 «NP V NP»: agent=Agent lidar=Patient |
| 3 | **spin** | gerund |  |  |  |  |  |  | vn roll-51.3.1 «NP.theme V»: agent=Theme |

## Example 2 {#x2}

<!-- .ven lang=en -->
Scientists used lidar to find old Mayan cities hidden under the jungle.

```conllu
# sent_id = dict:school:lidar:x2:1
# text = Scientists used lidar to find old Mayan cities hidden under the jungle.
1	Scientists	scientist	NOUN	NNS	Number=Plur	2	nsubj	_	_
2	used	use	VERB	VBD	Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
3	lidar	lidar	NOUN	NN	Number=Sing	2	obj	_	_
4	to	to	PART	TO	_	5	mark	_	_
5	find	find	VERB	VB	VerbForm=Inf	2	advcl	_	_
6	old	old	ADJ	JJ	Degree=Pos	8	amod	_	_
7	Mayan	mayan	ADJ	JJ	Degree=Pos	8	amod	_	_
8	cities	city	NOUN	NNS	Number=Plur	5	obj	_	_
9	hidden	hide	VERB	VBN	Tense=Past|VerbForm=Part|Voice=Pass	8	acl	_	_
10	under	under	ADP	IN	_	12	case	_	_
11	the	the	DET	DT	Definite=Def|PronType=Art	12	det	_	_
12	jungle	jungle	NOUN	NN	Number=Sing	9	obl	_	SpaceAfter=No
13	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **use** | past | Scientists | lidar |  |  |  |  | vn eat-39.1 «NP V NP»: agent=Agent lidar=Patient |
| 2 | **find** | to-infinitive | Scientists *not said here* | old Mayan cities |  |  |  |  | vn discover-84 «NP V NP»: agent=Agent city=Topic |
| 3 | **hide** | participle |  | old Mayan cities *not said here* |  | the jungle |  |  | vn concealment-16-1 «NP V PP.location»: agent=Agent under jungle=Location |

## Example 3 {#x3}

<!-- .ven lang=en -->
A lidar sensor measures how far away the wall is.

```conllu
# sent_id = dict:school:lidar:x3:1
# text = A lidar sensor measures how far away the wall is.
1	A	a	DET	DT	Definite=Ind|PronType=Art	3	det	_	_
2	lidar	lidar	NOUN	NN	Number=Sing	3	compound	_	_
3	sensor	sensor	NOUN	NN	Number=Sing	4	nsubj	_	_
4	measures	measure	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	how	how	ADV	WRB	PronType=Int	6	advmod	_	_
6	far	far	ADV	RB	Degree=Pos	7	advmod	_	_
7	away	away	ADV	RB	_	4	ccomp	_	_
8	the	the	DET	DT	Definite=Def|PronType=Art	9	det	_	_
9	wall	wall	NOUN	NN	Number=Sing	7	nsubj	_	_
10	is	be	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	7	cop	_	SpaceAfter=No
11	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **measure** | present | a lidar sensor |  |  |  |  |  | vn register-54.1-2-1 «NP V NP.value»: agent=Theme |
| 2 | **is** | present | the wall |  |  |  |  | away, far *property* | tree rules |

## Example 4 {#x4}

<!-- .ven lang=en -->
The plane flew over the hills to make a lidar map.

```conllu
# sent_id = dict:school:lidar:x4:1
# text = The plane flew over the hills to make a lidar map.
1	The	the	DET	DT	Definite=Def|PronType=Art	2	det	_	_
2	plane	plane	NOUN	NN	Number=Sing	3	nsubj	_	_
3	flew	fly	VERB	VBD	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
4	over	over	ADP	IN	_	6	case	_	_
5	the	the	DET	DT	Definite=Def|PronType=Art	6	det	_	_
6	hills	hill	NOUN	NNS	Number=Plur	3	obl	_	_
7	to	to	PART	TO	_	8	mark	_	_
8	make	make	VERB	VB	VerbForm=Inf	3	advcl	_	_
9	a	a	DET	DT	Definite=Ind|PronType=Art	11	det	_	_
10	lidar	lidar	ADJ	JJ	Degree=Pos	11	amod	_	_
11	map	map	NOUN	NN	Number=Sing	8	obj	_	SpaceAfter=No
12	.	.	PUNCT	.	_	3	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **fly** | past | the plane |  |  | the hills |  |  | vn spatial\_configuration-47.6-1 «NP V PP.location»: agent=Theme over hill=Location |
| 2 | **make** | to-infinitive | the plane *not said here* | a lidar map |  |  |  |  | vn build-26.1-1 «NP.asset V NP»: agent=Asset map=Product |

## Example 5 {#x5}

<!-- .ven lang=en -->
Some new phones use lidar to measure a room.

```conllu
# sent_id = dict:school:lidar:x5:1
# text = Some new phones use lidar to measure a room.
1	Some	some	DET	DT	PronType=Ind	3	det	_	_
2	new	new	ADJ	JJ	Degree=Pos	3	amod	_	_
3	phones	phone	NOUN	NNS	Number=Plur	4	nsubj	_	_
4	use	use	VERB	VBP	Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	lidar	lidar	NOUN	NN	Number=Sing	4	obj	_	_
6	to	to	PART	TO	_	7	mark	_	_
7	measure	measure	VERB	VB	VerbForm=Inf	4	advcl	_	_
8	a	a	DET	DT	Definite=Ind|PronType=Art	9	det	_	_
9	room	room	NOUN	NN	Number=Sing	7	obj	_	SpaceAfter=No
10	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **use** | present | some new phones | lidar |  |  |  |  | vn eat-39.1 «NP V NP»: agent=Agent lidar=Patient |
| 2 | **measure** | to-infinitive | some new phones *not said here* | a room |  |  |  |  | vn register-54.1-2-1 «NP V NP.value»: agent=Theme room=Value |

## Example 6 {#x6}

<!-- .ven lang=en -->
Lidar works a bit like a bat's echo, but with light.

```conllu
# sent_id = dict:school:lidar:x6:1
# text = Lidar works a bit like a bat's echo, but with light.
1	Lidar	lidar	NOUN	NN	Number=Sing	2	nsubj	_	_
2	works	work	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
3	a	a	DET	DT	Definite=Ind|PronType=Art	4	det	_	_
4	bit	bit	NOUN	NN	Number=Sing	2	obj	_	_
5	like	like	ADP	IN	_	9	case	_	_
6	a	a	DET	DT	Definite=Ind|PronType=Art	7	det	_	_
7	bat	bat	NOUN	NN	Number=Sing	9	nmod:poss	_	SpaceAfter=No
8	's	's	PART	POS	_	7	case	_	_
9	echo	echo	NOUN	NN	Number=Sing	4	nmod	_	SpaceAfter=No
10	,	,	PUNCT	,	_	13	punct	_	_
11	but	but	CCONJ	CC	_	13	cc	_	_
12	with	with	ADP	IN	_	13	case	_	_
13	light	light	NOUN	NN	Number=Sing	2	obl	_	SpaceAfter=No
14	.	.	PUNCT	.	_	2	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **work** | present | Lidar | a bit |  |  |  | like a bat's echo; with light | vn knead-26.5 «NP V NP.material»: agent=Agent bit=Material |

## Example 7 {#x7}

<!-- .ven lang=en -->
The robot vacuum uses lidar so it doesn't bump into the sofa.

```conllu
# sent_id = dict:school:lidar:x7:1
# text = The robot vacuum uses lidar so it doesn't bump into the sofa.
1	The	the	DET	DT	Definite=Def|PronType=Art	3	det	_	_
2	robot	robot	NOUN	NN	Number=Sing	3	compound	_	_
3	vacuum	vacuum	NOUN	NN	Number=Sing	4	nsubj	_	_
4	uses	use	VERB	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	0	root	_	_
5	lidar	lidar	NOUN	NN	Number=Sing	4	obj	_	_
6	so	so	SCONJ	IN	_	10	mark	_	_
7	it	it	PRON	PRP	Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs	10	nsubj	_	_
8	does	do	AUX	VBZ	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	10	aux	_	SpaceAfter=No
9	n't	not	PART	RB	Polarity=Neg	10	advmod	_	_
10	bump	bump	VERB	VB	VerbForm=Inf	4	advcl	_	_
11	into	into	ADP	IN	_	13	case	_	_
12	the	the	DET	DT	Definite=Def|PronType=Art	13	det	_	_
13	sofa	sofa	NOUN	NN	Number=Sing	10	obl	_	SpaceAfter=No
14	.	.	PUNCT	.	_	4	punct	_	_
```

<!-- .fr -->
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 1 | **use** | present | the robot vacuum | lidar |  |  |  |  | vn eat-39.1 «NP V NP»: agent=Agent lidar=Patient |
| 2 | **not** **bump** | present · do-support | vacuum |  |  | the sofa |  |  | vn bump-18.4-1 «NP V PP.location»: agent=Theme into sofa=Location |

<!-- div src -->

**Text:** the school dictionary of Mova's schools (`world/data/dictionary-schools/`), written for Mova. **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 meaning and example read on its own. Elamur Cosmic License.

<!-- /div -->

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