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Test 9 · How nature documentaries are made: hides, camera traps, dr…

A robot penguin waddles among real penguins and films them. Why does it work?

Mova's choice: option 2 · The right answer: option 3 · wrong ✗ · Who acts: robot penguin, penguin · What happens: waddle, work

This is test 9 of lesson 394 «How nature documentaries are made: hides, camera traps, drones and years of waiting» of the biology course of Mova's primary school. The page gives the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: the test at school.

The question

Sentence 1: A robot penguin waddles among real penguins and films them.

detcompoundnsubjcaseamodoblccconjnmodpunctrootADETrobotNOUNpenguinNOUNwaddlesVERBamongADPrealADJpenguinsNOUNandCCONJfilmsNOUNthemPRON.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AaDETDefinite=Ind PronType=Art3 penguindet
2robotrobotNOUNNumber=Sing3 penguincompound
3penguinpenguinNOUNNumber=Sing4 waddlesnsubj
4waddleswaddleVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
5amongamongADP_7 penguinscase
6realrealADJDegree=Pos7 penguinsamod
7penguinspenguinNOUNNumber=Plur4 waddlesobl
8andandCCONJ_9 filmscc
9filmsfilmNOUNNumber=Plur7 penguinsconj
10themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs7 penguinsnmod
11..PUNCT_4 waddlespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1waddlepresenta robot penguinamong real penguins films and filmsvn run-51.3.2 «NP V PP.location»: agent=Theme among penguin=Trajectory

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.

Sentence 2: Why does it work?

advmodauxnsubjpunctrootWhyADVdoesAUXitPRONworkVERB?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhywhyADVPronType=Int4 workadvmod
2doesdoAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin4 workaux
3ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs4 worknsubj
4workworkVERBVerbForm=Infrootroot
5??PUNCT_4 workpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1workpresent · do-supportpenguinvn employment-95.3 «NP V»: agent=Agent

The options

Option 1

The robot speaks penguin language

detnsubjcompoundobjrootTheDETrobotNOUNspeaksVERBpenguinNOUNlanguageNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ThetheDETDefinite=Def PronType=Art2 robotdet
2robotrobotNOUNNumber=Sing3 speaksnsubj
3speaksspeakVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
4penguinpenguinNOUNNumber=Sing5 languagecompound
5languagelanguageNOUNNumber=Sing3 speaksobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1speak speech: otherpresentthe robotpenguin languagetree rules

Option 2 · ← Mova's choice

Penguins cannot see at all, so they never notice anything new around them

The tree, 14 words
nsubjauxadvmodcaseoblpunctadvmodnsubjadvmodconjobjamodcaseoblrootPenguinsNOUNcanAUXnotPARTseeVERBatADPallDET,PUNCTsoADVtheyPRONneverADVnoticeVERBanythingPRONnewADJaroundADPthemPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1PenguinspenguinNOUNNumber=Plur4 seensubj
2cancanAUXVerbForm=Fin4 seeaux
3notnotPARTPolarity=Neg4 seeadvmod
4seeseeVERBVerbForm=Infrootroot
5atatADP_6 allcase
6allallDETPronType=Tot4 seeobl
7,,PUNCT_11 noticepunct
8sosoADV_11 noticeadvmod
9theytheyPRONCase=Nom Number=Plur Person=3 PronType=Prs11 noticensubj
10neverneverADVPronType=Neg11 noticeadvmod
11noticenoticeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin4 seeconj
12anythinganythingPRONNumber=Sing PronType=Ind11 noticeobj
13newnewADJDegree=Pos12 anythingamod
14aroundaroundADP_15 themcase
15themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs11 noticeobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1not seecanPenguinsallvn comprehend-87.2-1-1 «NP V»: agent=Experiencer
2not noticepresentPenguins = penguinanythingaround them = theyvn see-30.1-1 «NP V S»: agent=Experiencer anything=Stimulus

Option 3 · ✓ the right answer

Real penguins often ignore a robot that looks and moves a bit like them

amodnsubjadvmoddetobjnsubjacl:relclccconjdetobl:unmarkedcaseoblrootRealADJpenguinsNOUNoftenADVignoreVERBaDETrobotNOUNthatPRONlooksVERBandCCONJmovesVERBaDETbitNOUNlikeADPthemPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1RealrealADJDegree=Pos2 penguinsamod
2penguinspenguinNOUNNumber=Plur4 ignorensubj
3oftenoftenADV_4 ignoreadvmod
4ignoreignoreVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
5aaDETDefinite=Ind PronType=Art6 robotdet
6robotrobotNOUNNumber=Sing4 ignoreobj
7thatthatPRONPronType=Rel8 looksnsubj
8lookslookVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin6 robotacl:relcl
9andandCCONJ_10 movescc
10movesmoveVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin8 looksconj
11aaDETDefinite=Ind PronType=Art12 bitdet
12bitbitNOUNNumber=Sing10 movesobl:unmarked
13likelikeADP_14 themcase
14themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs10 movesobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ignorepresentReal penguinsa robotoften propertyvn neglect-75.1 «NP V NP»: agent=Agent robot=Theme
2lookpresenta robotvn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus
3movepresenta robot not said herea bitlike penguins = penguinvn roll-51.3.1 «NP.theme V»: agent=Theme

Option 4

Penguins love all machines

nsubjdetobjrootPenguinsNOUNloveVERBallDETmachinesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1PenguinspenguinNOUNNumber=Plur2 lovensubj
2loveloveVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
3allallDETPronType=Tot4 machinesdet
4machinesmachineNOUNNumber=Plur2 loveobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1lovepresentPenguinsall machinesvn admire-31.2-1 «NP V NP»: agent=Experiencer machine=Stimulus

Text: the tests of Mova's primary school, written for Mova (world/data/school/), as the course runner gave them to the student. 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 text read on its own. Elamur Cosmic License.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/t9/