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robot

Who acts: robot, machine, some, person, club, many toys · What happens: be, do, follow, move, act, mean · To what, where: machine, jobs, program, person, traffic light, South Africa

«robot» in the school dictionary: its 3 meanings for a pupil and its 9 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: robot in the school dictionary.

Meaning 1

A robot is a machine that can do jobs by itself, following a program; some move and act like a person or an animal.

The tree, 24 words
detnsubjcopdetnsubjauxacl:relclobjcaseoblpunctadvcldetobjpunctnsubjparataxisccconjcasedetoblccdetconjpunctrootADETrobotNOUNisAUXaDETmachineNOUNthatPRONcanAUXdoVERBjobsNOUNbyADPitselfPRON,PUNCTfollowingVERBaDETprogramNOUN;PUNCTsomeDETmoveVERBandCCONJactVERBlikeADPaDETpersonNOUNorCCONJanDETanimalNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 robotdet
2robotrobotNOUNNumber=Sing5 machinensubj
3isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin5 machinecop
4aaDETDefinite=Ind PronType=Art5 machinedet
5machinemachineNOUNNumber=Singrootroot
6thatthatPRONPronType=Rel8 donsubj
7cancanAUXVerbForm=Fin8 doaux
8dodoVERBVerbForm=Inf5 machineacl:relcl
9jobsjobNOUNNumber=Plur8 doobj
10bybyADP_11 itselfcase
11itselfitselfPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs Reflex=Yes8 doobl
12,,PUNCT_13 followingpunct
13followingfollowVERBTense=Pres VerbForm=Part8 doadvcl
14aaDETDefinite=Ind PronType=Art15 programdet
15programprogramNOUNNumber=Sing13 followingobj
16;;PUNCT_18 movepunct
17somesomeDETPronType=Ind18 movensubj
18movemoveVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin5 machineparataxis
19andandCCONJ_20 actcc
20actactVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin18 moveconj
21likelikeADP_23 personcase
22aaDETDefinite=Ind PronType=Art23 persondet
23personpersonNOUNNumber=Sing20 actobl
24ororCCONJ_26 animalcc
25anaDETDefinite=Ind PronType=Art26 animaldet
26animalanimalNOUNNumber=Sing23 personconj
27..PUNCT_5 machinepunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresenta robota machinetree rules
2docana machinejobsby robotvn act-114-1 «NP V NP»: agent=Agent job=Eventuality
3followgerunda machine not said herea programvn chase-51.6 «NP V NP»: agent=Agent program=Theme
4movepresentsomevn roll-51.3.1 «NP.theme V»: agent=Theme
5actpresentsome not said herelike a person or a animalvn masquerade-29.6-1 «NP V PP.attribute»: agent=Agent like person=Attribute

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

A robot can also mean a person who acts without feeling or thinking, like a machine.

The tree, 16 words
detnsubjauxadvmoddetobjnsubjacl:relclmarkadvclccconjpunctcasedetoblpunctrootADETrobotNOUNcanAUXalsoADVmeanVERBaDETpersonNOUNwhoPRONactsVERBwithoutSCONJfeelingVERBorCCONJthinkingVERB,PUNCTlikeADPaDETmachineNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 robotdet
2robotrobotNOUNNumber=Sing5 meannsubj
3cancanAUXVerbForm=Fin5 meanaux
4alsoalsoADV_5 meanadvmod
5meanmeanVERBVerbForm=Infrootroot
6aaDETDefinite=Ind PronType=Art7 persondet
7personpersonNOUNNumber=Sing5 meanobj
8whowhoPRONPronType=Rel9 actsnsubj
9actsactVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 personacl:relcl
10withoutwithoutSCONJ_11 feelingmark
11feelingfeelVERBTense=Pres VerbForm=Part9 actsadvcl
12ororCCONJ_13 thinkingcc
13thinkingthinkVERBTense=Pres VerbForm=Part11 feelingconj
14,,PUNCT_17 machinepunct
15likelikeADP_17 machinecase
16aaDETDefinite=Ind PronType=Art17 machinedet
17machinemachineNOUNNumber=Sing11 feelingobl
18..PUNCT_5 meanpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1meancana robota personvn intend-61.2-1 «NP V NP»: agent=Agent person=Topic
2actpresenta personvn act-114-1-1 «NP V»: agent=Agent
3feelgerunda person not said herelike a machinevn conjecture-29.5-2 «NP V S»: agent=Agent like machine=Theme
4think speech: othergerunda person not said herevn focus-87.1-1 «NP V»: agent=Agent

Meaning 3

In South Africa, a robot is a traffic light.

casecompoundoblpunctdetnsubjcopdetcompoundpunctrootInADPSouthPROPNAfricaPROPN,PUNCTaDETrobotNOUNisAUXaDETtrafficNOUNlightNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1IninADP_3 Africacase
2SouthSouthPROPNNumber=Sing3 Africacompound
3AfricaAfricaPROPNNumber=Sing10 lightobl
4,,PUNCT_3 Africapunct
5aaDETDefinite=Ind PronType=Art6 robotdet
6robotrobotNOUNNumber=Sing10 lightnsubj
7isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin10 lightcop
8aaDETDefinite=Ind PronType=Art10 lightdet
9traffictrafficNOUNNumber=Sing10 lightcompound
10lightlightNOUNNumber=Singrootroot
11..PUNCT_10 lightpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresenta robota traffic lightSouth Africatree rules

Example 1

A robot makes 12 toys an hour.

detnsubjnummodobjdetobl:unmarkedpunctrootADETrobotNOUNmakesVERB12NUMtoysNOUNanDEThourNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art2 robotdet
2robotrobotNOUNNumber=Sing3 makesnsubj
3makesmakeVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
41212NUMNumForm=Digit NumType=Card5 toysnummod
5toystoyNOUNNumber=Plur3 makesobj
6anaDETDefinite=Ind PronType=Art7 hourdet
7hourhourNOUNNumber=Sing3 makesobl:unmarked
8..PUNCT_3 makespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1makepresenta robot12 toyshourvn build-26.1-1 «NP.asset V NP»: agent=Asset toy=Product

Example 2

The club built 4 robots.

detnsubjnummodobjpunctrootTheDETclubNOUNbuiltVERB4NUMrobotsNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art2 clubdet
2clubclubNOUNNumber=Sing3 builtnsubj
3builtbuildVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
444NUMNumForm=Digit NumType=Card5 robotsnummod
5robotsrobotNOUNNumber=Plur3 builtobj
6..PUNCT_3 builtpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1buildpastthe club4 robotsvn build-26.1-1 «NP.asset V NP»: agent=Asset robot=Product

Example 3

Each robot needs 6 batteries.

detnsubjnummodobjpunctrootEachDETrobotNOUNneedsVERB6NUMbatteriesNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1EacheachDETPronType=Tot2 robotdet
2robotrobotNOUNNumber=Sing3 needsnsubj
3needsneedVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
466NUMNumForm=Digit NumType=Card5 batteriesnummod
5batteriesbatteryNOUNNumber=Plur3 needsobj
6..PUNCT_3 needspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1needpresenteach robot6 batteriesvn want-32.1-1-1 «NP V NP ADV»: agent=Pivot battery=Theme

Example 4

How many toys do 3 robots make in 5 hours?

advmodamodnsubjnummodnsubjccompcasenummodoblpunctrootHowADVmanyADJtoysNOUNdoVERB3NUMrobotsNOUNmakeVERBinADP5NUMhoursNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1HowhowADVPronType=Int2 manyadvmod
2manymanyADJDegree=Pos3 toysamod
3toystoyNOUNNumber=Plur4 donsubj
4dodoVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
533NUMNumForm=Digit NumType=Card6 robotsnummod
6robotsrobotNOUNNumber=Plur7 makensubj
7makemakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin4 doccomp
8ininADP_10 hourscase
955NUMNumForm=Digit NumType=Card10 hoursnummod
10hourshourNOUNNumber=Plur7 makeobl
11??PUNCT_4 dopunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dopresentmany toystree rules
2makepresent3 robotshourvn build-26.1-1 «NP.asset V NP»: agent=Asset

Example 5

We programmed a small robot to move in a square.

nsubjdetamodobjmarkadvclcasedetoblpunctrootWePRONprogrammedVERBaDETsmallADJrobotNOUNtoPARTmoveVERBinADPaDETsquareNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WewePRONCase=Nom Number=Plur Person=1 PronType=Prs2 programmednsubj
2programmedprogramVERBMood=Ind Number=Plur Person=1 Tense=Past VerbForm=Finrootroot
3aaDETDefinite=Ind PronType=Art5 robotdet
4smallsmallADJDegree=Pos5 robotamod
5robotrobotNOUNNumber=Sing2 programmedobj
6totoPART_7 movemark
7movemoveVERBVerbForm=Inf2 programmedadvcl
8ininADP_10 squarecase
9aaDETDefinite=Ind PronType=Art10 squaredet
10squaresquareNOUNNumber=Sing7 moveobl
11..PUNCT_2 programmedpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1programpastWea small robottree rules
2moveto-infinitiveWe not said herea squarevn roll-51.3.1 «NP V PP.trajectory»: agent=Theme in square=Trajectory

Example 6

A robot rover explores the surface of Mars.

detcompoundnsubjdetobjcasenmodpunctrootADETrobotNOUNroverNOUNexploresVERBtheDETsurfaceNOUNofADPMarsPROPN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 roverdet
2robotrobotNOUNNumber=Sing3 rovercompound
3roverroverNOUNNumber=Sing4 exploresnsubj
4exploresexploreVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5thetheDETDefinite=Def PronType=Art6 surfacedet
6surfacesurfaceNOUNNumber=Sing4 exploresobj
7ofofADP_8 Marscase
8MarsMarsPROPNNumber=Sing6 surfacenmod
9..PUNCT_4 explorespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1explorepresenta robot roverthe surface of Marsvn investigate-35.4 «NP V NP.location»: agent=Agent surface=Location

Example 7

Robots build cars in big factories.

nsubjobjcaseamodoblpunctrootRobotsNOUNbuildVERBcarsNOUNinADPbigADJfactoriesNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1RobotsrobotNOUNNumber=Plur2 buildnsubj
2buildbuildVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
3carscarNOUNNumber=Plur2 buildobj
4ininADP_6 factoriescase
5bigbigADJDegree=Pos6 factoriesamod
6factoriesfactoryNOUNNumber=Plur2 buildobl
7..PUNCT_2 buildpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1buildpresentRobotscarsbig factoriesvn build-26.1-1 «NP.asset V NP»: agent=Asset car=Product

Example 8

Our robot vacuum cleans the floor by itself.

nmod:posscompoundnsubjdetobjcaseoblpunctrootOurPRONrobotNOUNvacuumNOUNcleansVERBtheDETfloorNOUNbyADPitselfPRON.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1OurourPRONCase=Gen Number=Plur Person=1 Poss=Yes PronType=Prs3 vacuumnmod:poss
2robotrobotNOUNNumber=Sing3 vacuumcompound
3vacuumvacuumNOUNNumber=Sing4 cleansnsubj
4cleanscleanVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5thetheDETDefinite=Def PronType=Art6 floordet
6floorfloorNOUNNumber=Sing4 cleansobj
7bybyADP_8 itselfcase
8itselfitselfPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs Reflex=Yes4 cleansobl
9..PUNCT_4 cleanspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1cleanpresentOur robot vacuumthe floorby vacuumvn other_cos-45.4 «NP V NP.patient»: agent=Agent floor=Patient

Example 9

In the film, the robot learns to make friends.

casedetoblpunctdetnsubjmarkxcompobjpunctrootInADPtheDETfilmNOUN,PUNCTtheDETrobotNOUNlearnsVERBtoPARTmakeVERBfriendsNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1IninADP_3 filmcase
2thetheDETDefinite=Def PronType=Art3 filmdet
3filmfilmNOUNNumber=Sing7 learnsobl
4,,PUNCT_3 filmpunct
5thetheDETDefinite=Def PronType=Art6 robotdet
6robotrobotNOUNNumber=Sing7 learnsnsubj
7learnslearnVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
8totoPART_9 makemark
9makemakeVERBVerbForm=Inf7 learnsxcomp
10friendsfriendNOUNNumber=Plur9 makeobj
11..PUNCT_7 learnspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1learnpresentthe robotthe filmvn learn-14-2-1 «NP V that S»: agent=Agent clause=Topic
2maketo-infinitivethe robot not said herefriendsvn build-26.1-1 «NP.asset V NP»: agent=Asset friend=Product

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/R/robot/