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Self-driving cars and machines that run themselves, sentence 13

Lidar is a spinning laser that measures the distance to everything by timing how long its light takes to come back, and it can build a 3D picture of a street.

Who acts: Lidar, spinning laser, light · What happens: spin, be, measure, time, take, come back · To what, where: spinning laser, distance, 3D picture

This is a sentence of the lesson «Self-driving cars and machines that run themselves» of the technology 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 (Lidar, spinning laser, light), what happens, when and where, as Mova's frames read it from the tree.

The tree

nsubjcopdetamodnsubjacl:relcldetobjcasenmodmarkadvcladvmodadvmodnmod:possnsubjccompmarkadvcladvmodpunctccnsubjauxconjdetamodobjcasedetnmodpunctrootLidarNOUNisAUXaDETspinningVERBlaserNOUNthatPRONmeasuresVERBtheDETdistanceNOUNtoADPeverythingPRONbySCONJtimingVERBhowADVlongADVitsPRONlightNOUNtakesVERBtoPARTcomeVERBbackADV,PUNCTandCCONJitPRONcanAUXbuildVERBaDET3DADJpictureNOUNofADPaDETstreetNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1LidarlidarNOUNNumber=Sing5 lasernsubj
2isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin5 lasercop
3aaDETDefinite=Ind PronType=Art5 laserdet
4spinningspinVERBVerbForm=Ger5 laseramod
5laserlaserNOUNNumber=Singrootroot
6thatthatPRONPronType=Rel7 measuresnsubj
7measuresmeasureVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin5 laseracl:relcl
8thetheDETDefinite=Def PronType=Art9 distancedet
9distancedistanceNOUNNumber=Sing7 measuresobj
10totoADP_11 everythingcase
11everythingeverythingPRONNumber=Sing PronType=Tot9 distancenmod
12bybySCONJ_13 timingmark
13timingtimeVERBTense=Pres VerbForm=Part7 measuresadvcl
14howhowADVPronType=Int15 longadvmod
15longlongADVDegree=Pos18 takesadvmod
16itsitsPRONCase=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs17 lightnmod:poss
17lightlightNOUNNumber=Sing18 takesnsubj
18takestakeVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin13 timingccomp
19totoPART_20 comemark
20comecomeVERBVerbForm=Inf18 takesadvcl
21backbackADV_20 comeadvmod
22,,PUNCT_26 buildpunct
23andandCCONJ_26 buildcc
24ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs26 buildnsubj
25cancanAUXVerbForm=Fin26 buildaux
26buildbuildVERBVerbForm=Inf13 timingconj
27aaDETDefinite=Ind PronType=Art29 picturedet
283D3dADJDegree=Pos NumForm=Combi29 pictureamod
29picturepictureNOUNNumber=Sing26 buildobj
30ofofADP_32 streetcase
31aaDETDefinite=Ind PronType=Art32 streetdet
32streetstreetNOUNNumber=Sing29 picturenmod
33..PUNCT_5 laserpunct

Pragmatics

form
statement
act
assert
voice
narrator
polarity
none
teacher
kept the draft
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1spingerundvn roll-51.3.1 «NP.theme V»: agent=Theme
2is apresentLidara spinning lasertree rules
3measurepresenta spinning laserthe distanceto everythingvn register-54.1-2-1 «NP V NP.value»: agent=Theme distance=Value
4timegerunda spinning laser not said heretree rules
5takepresentlidar's lightlong propertyvn bring-11.3 «NP V NP»: agent=Agent
6come backto-infinitivelidar's light not said herevn escape-51.1-1 «NP V»: agent=Theme
7buildcanlighta 3D picture of a streetvn build-26.1-1 «NP.material V NP»: agent=Material picture=Product
8lightlidarnom light «phenomenon transitive»: poss=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.

Licence: CC 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:technology:040-self-driving-cars-and-machines-that-run-themselves.lesson:13.

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): no change. 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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/technology/40-self-driving-cars-and-machines-that-run-themselves/13/