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Test 5 · ★ · Recycling, waste and plastic

Scientists find tiny plastic pieces in snow near the North Pole, far from any city. How did they most likely get there?

Mova's choice: option 3 · The right answer: option 3 · right ✓ · Who acts: Scientists · What happens: find, get · To what, where: tiny plastic pieces, snow

This is test 5 · ★ of lesson 88 «Recycling, waste and plastic» of the world 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: Scientists find tiny plastic pieces in snow near the North Pole, far from any city.

nsubjamodcompoundobjcasenmodcasedetcompoundnmodpunctadvmodcasedetoblpunctrootScientistsNOUNfindVERBtinyADJplasticNOUNpiecesNOUNinADPsnowNOUNnearADPtheDETNorthPROPNPolePROPN,PUNCTfarADVfromADPanyDETcityNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ScientistsscientistNOUNNumber=Plur2 findnsubj
2findfindVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
3tinytinyADJDegree=Pos5 piecesamod
4plasticplasticNOUNNumber=Sing5 piecescompound
5piecespieceNOUNNumber=Plur2 findobj
6ininADP_7 snowcase
7snowsnowNOUNNumber=Sing5 piecesnmod
8nearnearADP_11 Polecase
9thetheDETDefinite=Def PronType=Art11 Poledet
10NorthNorthPROPNNumber=Sing11 Polecompound
11PolePolePROPNNumber=Sing5 piecesnmod
12,,PUNCT_16 citypunct
13farfarADVDegree=Pos16 cityadvmod
14fromfromADP_16 citycase
15anyanyDETPronType=Ind16 citydet
16citycityNOUNNumber=Sing2 findobl
17..PUNCT_2 findpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1findpresentScientiststiny plastic piecessnownear the North Pole; from any cityvn get-13.5.1 «NP V NP PP.source»: agent=Agent piece=Theme from city=Source

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: How did they most likely get there?

advmodauxnsubjadvmodadvmodadvmodpunctrootHowADVdidAUXtheyPRONmostADVlikelyADVgetVERBthereADV?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1HowhowADVPronType=Int6 getadvmod
2diddoAUXMood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin6 getaux
3theytheyPRONCase=Nom Number=Plur Person=3 PronType=Prs6 getnsubj
4mostmostADVDegree=Sup5 likelyadvmod
5likelylikelyADV_6 getadvmod
6getgetVERBVerbForm=Infrootroot
7therethereADVPronType=Dem6 getadvmod
8??PUNCT_6 getpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1getpast · do-supportScientists = scientisttherelikely propertyvn comprehend-87.2-1 «NP V S_ING»: agent=Experiencer

The options

Option 1

People in the Arctic make lots of plastic

nsubjcasedetnmodobjcasenmodrootPeopleNOUNinADPtheDETArcticPROPNmakeVERBlotsNOUNofADPplasticNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1PeoplepeopleNOUNNumber=Plur5 makensubj
2ininADP_4 Arcticcase
3thetheDETDefinite=Def PronType=Art4 Arcticdet
4ArcticArcticPROPNNumber=Sing1 Peoplenmod
5makemakeVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
6lotslotNOUNNumber=Plur5 makeobj
7ofofADP_8 plasticcase
8plasticplasticNOUNNumber=Sing6 lotsnmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1makepresentPeople in the Arcticlots of plasticvn build-26.1-1 «NP V NP»: agent=Agent lot=Product

Option 2

Polar bears carry plastic bags there

amodnsubjamodobjadvmodrootPolarADJbearsNOUNcarryVERBplasticADJbagsNOUNthereADV
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1PolarpolarADJDegree=Pos2 bearsamod
2bearsbearNOUNNumber=Plur3 carrynsubj
3carrycarryVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
4plasticplasticADJDegree=Pos5 bagsamod
5bagsbagNOUNNumber=Plur3 carryobj
6therethereADVPronType=Dem3 carryadvmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1carrypresentPolar bearsplastic bagstherevn carry-11.4 «NP V NP»: agent=Agent bag=Theme

Option 3 · ← Mova's choice · ✓ the right answer

Larger plastic broke up and the bits were carried by wind and sea

advmodnsubjcompound:prtccdetnsubj:passaux:passconjcaseoblccconjrootLargerADVplasticNOUNbrokeVERBupADPandCCONJtheDETbitsNOUNwereAUXcarriedVERBbyADPwindNOUNandCCONJseaNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1LargerlargeADVDegree=Cmp3 brokeadvmod
2plasticplasticNOUNNumber=Sing3 brokensubj
3brokebreakVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4upupADP_3 brokecompound:prt
5andandCCONJ_9 carriedcc
6thetheDETDefinite=Def PronType=Art7 bitsdet
7bitsbitNOUNNumber=Plur9 carriednsubj:pass
8werebeAUXMood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin9 carriedaux:pass
9carriedcarryVERBTense=Past VerbForm=Part Voice=Pass3 brokeconj
10bybyADP_11 windcase
11windwindNOUNNumber=Sing9 carriedobl
12andandCCONJ_13 seacc
13seaseaNOUNNumber=Sing11 windconj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1break uppastplasticlarge propertyvn break-45.1 «NP.patient V»: agent=Patient
2carrypast · passivewind and seathe bitsvn carry-11.4 «NP V NP»: agent=Agent subject=Theme

Option 4

Snow turns into plastic when it is very cold

nsubjcaseoblmarknsubjcopadvmodadvclrootSnowNOUNturnsVERBintoADPplasticNOUNwhenSCONJitPRONisAUXveryADVcoldADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SnowsnowNOUNNumber=Sing2 turnsnsubj
2turnsturnVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
3intointoADP_4 plasticcase
4plasticplasticNOUNNumber=Sing2 turnsobl
5whenwhenSCONJ_9 coldmark
6ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs9 coldnsubj
7isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin9 coldcop
8veryveryADV_9 coldadvmod
9coldcoldADJDegree=Pos2 turnsadvcl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1turnpresentSnowplasticvn roll-51.3.1 «NP V PP.trajectory»: agent=Theme into plastic=Trajectory
2ispresentSnowcold propertytree rules

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/world/88-recycling-waste-plastic/t5/