Mova0.5 pre-release⌕
☰
home / corpora / dictionaries / school dictionary / L / lidar

lidar

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

«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.

Meaning 1

A way of measuring distance by sending out quick flashes of laser light and timing how long they take to bounce back.

The tree, 22 words
detmarkaclobjmarkadvclcompound:prtamodobjcasecompoundnmodccconjadvmodadvmodnsubjacl:relclmarkadvcladvmodpunctrootADETwayNOUNofSCONJmeasuringVERBdistanceNOUNbySCONJsendingVERBoutADPquickADJflashesNOUNofADPlaserNOUNlightNOUNandCCONJtimingNOUNhowADVlongADVtheyPRONtakeVERBtoPARTbounceVERBbackADV.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 waydet
2waywayNOUNNumber=Singrootroot
3ofofSCONJ_4 measuringmark
4measuringmeasureVERBVerbForm=Ger2 wayacl
5distancedistanceNOUNNumber=Sing4 measuringobj
6bybySCONJ_7 sendingmark
7sendingsendVERBTense=Pres VerbForm=Part4 measuringadvcl
8outoutADP_7 sendingcompound:prt
9quickquickADJDegree=Pos10 flashesamod
10flashesflashNOUNNumber=Plur7 sendingobj
11ofofADP_13 lightcase
12laserlaserNOUNNumber=Sing13 lightcompound
13lightlightNOUNNumber=Sing10 flashesnmod
14andandCCONJ_15 timingcc
15timingtimingNOUNNumber=Sing13 lightconj
16howhowADVPronType=Int17 longadvmod
17longlongADVDegree=Pos19 takeadvmod
18theytheyPRONCase=Nom Number=Plur Person=3 PronType=Prs19 takensubj
19taketakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin15 timingacl:relcl
20totoPART_21 bouncemark
21bouncebounceVERBVerbForm=Inf19 takeadvcl
22backbackADV_21 bounceadvmod
23..PUNCT_2 waypunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1measuregerunda way not said heredistancevn register-54.1-2-1 «NP V NP.value»: agent=Theme distance=Value
2send outgerunda way not said herequick flashes of laser light and timingvn confine-92-1 «NP V NP»: agent=Agent flash=Theme
3takepresentflashes = flashlong propertyvn bring-11.3 «NP V NP»: agent=Agent
4bounce backto-infinitiveflashes = flash not said herevn run-51.3.2-2 «NP V»: agent=Theme
5flashlaser light and timingnom flash «event intransitive»: of=agent

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

The machine or sensor that does this, as on a self-driving car or a survey plane.

The tree, 17 words
detnsubjccnsubjacl:relclobjpunctcasecasedetcompoundpunctamodoblccdetcompoundconjpunctrootTheDETmachineNOUNorCCONJsensorNOUNthatPRONdoesVERBthisPRON,PUNCTasADPonADPaDETselfNOUN-PUNCTdrivingVERBcarNOUNorCCONJaDETsurveyNOUNplaneNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art2 machinedet
2machinemachineNOUNNumber=Sing4 sensornsubj
3ororCCONJ_4 sensorcc
4sensorsensorNOUNNumber=Singrootroot
5thatthatPRONPronType=Rel6 doesnsubj
6doesdoVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin4 sensoracl:relcl
7thisthisPRONNumber=Sing PronType=Dem6 doesobj
8,,PUNCT_6 doespunct
9asasADP_15 carcase
10ononADP_15 carcase
11aaDETDefinite=Ind PronType=Art15 cardet
12selfselfNOUNNumber=Sing14 drivingcompound
13--PUNCT_12 selfpunct
14drivingdriveVERBVerbForm=Ger15 caramod
15carcarNOUNNumber=Sing6 doesobl
16ororCCONJ_19 planecc
17aaDETDefinite=Ind PronType=Art19 planedet
18surveysurveyNOUNNumber=Sing19 planecompound
19planeplaneNOUNNumber=Sing15 carconj
20..PUNCT_4 sensorpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dopresentsensorthisas a driving car or a survey planevn act-114-1 «NP V NP»: agent=Agent this=Eventuality
2drivegerundvn nonvehicle-51.4.2-1 «NP.agent V»: agent=Agent

Example 1

The self-driving car has a spinning lidar on its roof.

detcompoundpunctamodnsubjdetamodobjcasenmod:possnmodpunctrootTheDETselfNOUN-PUNCTdrivingVERBcarNOUNhasVERBaDETspinningVERBlidarNOUNonADPitsPRONroofNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art5 cardet
2selfselfNOUNNumber=Sing4 drivingcompound
3--PUNCT_2 selfpunct
4drivingdriveVERBVerbForm=Ger5 caramod
5carcarNOUNNumber=Sing6 hasnsubj
6hashaveVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
7aaDETDefinite=Ind PronType=Art9 lidardet
8spinningspinVERBVerbForm=Ger9 lidaramod
9lidarlidarNOUNNumber=Sing6 hasobj
10ononADP_12 roofcase
11itsitsPRONCase=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs12 roofnmod:poss
12roofroofNOUNNumber=Sing9 lidarnmod
13..PUNCT_6 haspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1drivegerundvn nonvehicle-51.4.2-1 «NP.agent V»: agent=Agent
2havepresentthe driving cara spinning lidarcar's roofvn birth-28.2-1 «NP V NP»: agent=Agent lidar=Patient
3spingerundvn roll-51.3.1 «NP.theme V»: agent=Theme

Example 2

Scientists used lidar to find old Mayan cities hidden under the jungle.

nsubjobjmarkadvclamodamodobjaclcasedetoblpunctrootScientistsNOUNusedVERBlidarNOUNtoPARTfindVERBoldADJMayanADJcitiesNOUNhiddenVERBunderADPtheDETjungleNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ScientistsscientistNOUNNumber=Plur2 usednsubj
2useduseVERBMood=Ind Number=Plur Person=3 Tense=Past VerbForm=Finrootroot
3lidarlidarNOUNNumber=Sing2 usedobj
4totoPART_5 findmark
5findfindVERBVerbForm=Inf2 usedadvcl
6oldoldADJDegree=Pos8 citiesamod
7MayanmayanADJDegree=Pos8 citiesamod
8citiescityNOUNNumber=Plur5 findobj
9hiddenhideVERBTense=Past VerbForm=Part Voice=Pass8 citiesacl
10underunderADP_12 junglecase
11thetheDETDefinite=Def PronType=Art12 jungledet
12junglejungleNOUNNumber=Sing9 hiddenobl
13..PUNCT_2 usedpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1usepastScientistslidarvn eat-39.1 «NP V NP»: agent=Agent lidar=Patient
2findto-infinitiveScientists not said hereold Mayan citiesvn discover-84 «NP V NP»: agent=Agent city=Topic
3hideparticipleold Mayan cities not said herethe junglevn concealment-16-1 «NP V PP.location»: agent=Agent under jungle=Location

Example 3

A lidar sensor measures how far away the wall is.

detcompoundnsubjadvmodadvmodccompdetnsubjcoppunctrootADETlidarNOUNsensorNOUNmeasuresVERBhowADVfarADVawayADVtheDETwallNOUNisAUX.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 sensordet
2lidarlidarNOUNNumber=Sing3 sensorcompound
3sensorsensorNOUNNumber=Sing4 measuresnsubj
4measuresmeasureVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5howhowADVPronType=Int6 faradvmod
6farfarADVDegree=Pos7 awayadvmod
7awayawayADV_4 measuresccomp
8thetheDETDefinite=Def PronType=Art9 walldet
9wallwallNOUNNumber=Sing7 awaynsubj
10isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 awaycop
11..PUNCT_4 measurespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1measurepresenta lidar sensorvn register-54.1-2-1 «NP V NP.value»: agent=Theme
2ispresentthe wallaway, far propertytree rules

Example 4

The plane flew over the hills to make a lidar map.

detnsubjcasedetoblmarkadvcldetamodobjpunctrootTheDETplaneNOUNflewVERBoverADPtheDEThillsNOUNtoPARTmakeVERBaDETlidarADJmapNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art2 planedet
2planeplaneNOUNNumber=Sing3 flewnsubj
3flewflyVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4overoverADP_6 hillscase
5thetheDETDefinite=Def PronType=Art6 hillsdet
6hillshillNOUNNumber=Plur3 flewobl
7totoPART_8 makemark
8makemakeVERBVerbForm=Inf3 flewadvcl
9aaDETDefinite=Ind PronType=Art11 mapdet
10lidarlidarADJDegree=Pos11 mapamod
11mapmapNOUNNumber=Sing8 makeobj
12..PUNCT_3 flewpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1flypastthe planethe hillsvn spatial_configuration-47.6-1 «NP V PP.location»: agent=Theme over hill=Location
2maketo-infinitivethe plane not said herea lidar mapvn build-26.1-1 «NP.asset V NP»: agent=Asset map=Product

Example 5

Some new phones use lidar to measure a room.

detamodnsubjobjmarkadvcldetobjpunctrootSomeDETnewADJphonesNOUNuseVERBlidarNOUNtoPARTmeasureVERBaDETroomNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SomesomeDETPronType=Ind3 phonesdet
2newnewADJDegree=Pos3 phonesamod
3phonesphoneNOUNNumber=Plur4 usensubj
4useuseVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
5lidarlidarNOUNNumber=Sing4 useobj
6totoPART_7 measuremark
7measuremeasureVERBVerbForm=Inf4 useadvcl
8aaDETDefinite=Ind PronType=Art9 roomdet
9roomroomNOUNNumber=Sing7 measureobj
10..PUNCT_4 usepunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1usepresentsome new phoneslidarvn eat-39.1 «NP V NP»: agent=Agent lidar=Patient
2measureto-infinitivesome new phones not said herea roomvn register-54.1-2-1 «NP V NP.value»: agent=Theme room=Value

Example 6

Lidar works a bit like a bat's echo, but with light.

nsubjdetobjcasedetnmod:posscasenmodpunctcccaseoblpunctrootLidarNOUNworksVERBaDETbitNOUNlikeADPaDETbatNOUN'sPARTechoNOUN,PUNCTbutCCONJwithADPlightNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1LidarlidarNOUNNumber=Sing2 worksnsubj
2worksworkVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
3aaDETDefinite=Ind PronType=Art4 bitdet
4bitbitNOUNNumber=Sing2 worksobj
5likelikeADP_9 echocase
6aaDETDefinite=Ind PronType=Art7 batdet
7batbatNOUNNumber=Sing9 echonmod:poss
8's'sPART_7 batcase
9echoechoNOUNNumber=Sing4 bitnmod
10,,PUNCT_13 lightpunct
11butbutCCONJ_13 lightcc
12withwithADP_13 lightcase
13lightlightNOUNNumber=Sing2 worksobl
14..PUNCT_2 workspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1workpresentLidara bitlike a bat's echo; with lightvn knead-26.5 «NP V NP.material»: agent=Agent bit=Material

Example 7

The robot vacuum uses lidar so it doesn't bump into the sofa.

detcompoundnsubjobjmarknsubjauxadvmodadvclcasedetoblpunctrootTheDETrobotNOUNvacuumNOUNusesVERBlidarNOUNsoSCONJitPRONdoesAUXn'tPARTbumpVERBintoADPtheDETsofaNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art3 vacuumdet
2robotrobotNOUNNumber=Sing3 vacuumcompound
3vacuumvacuumNOUNNumber=Sing4 usesnsubj
4usesuseVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5lidarlidarNOUNNumber=Sing4 usesobj
6sosoSCONJ_10 bumpmark
7ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs10 bumpnsubj
8doesdoAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin10 bumpaux
9n'tnotPARTPolarity=Neg10 bumpadvmod
10bumpbumpVERBVerbForm=Inf4 usesadvcl
11intointoADP_13 sofacase
12thetheDETDefinite=Def PronType=Art13 sofadet
13sofasofaNOUNNumber=Sing10 bumpobl
14..PUNCT_4 usespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1usepresentthe robot vacuumlidarvn eat-39.1 «NP V NP»: agent=Agent lidar=Patient
2not bumppresent · do-supportvacuumthe sofavn bump-18.4-1 «NP V PP.location»: agent=Theme into sofa=Location

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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/dictionaries/school/L/lidar/