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Exam question 4 · Finnish Tales, The Water-Lily Maiden, part 42: the Prince…

Which of the following accurately describes the instructions conveyed by the eagle?

Mova's choice: option 3 · The right answer: option 3 · right ✓ · What happens: follow, describe, convey · To what, where: instructions

This is exam question 4 of lesson 1455 «Finnish Tales, The Water-Lily Maiden, part 42: the Prince dives into the river as a crab» of the books course of Mova's primary school, asked in stiff, formal language. 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

nsubjcasedetadvmodadvcldetobjaclcasedetoblpunctrootWhichPRONofADPtheDETfollowingVERBaccuratelyADVdescribesVERBtheDETinstructionsNOUNconveyedVERBbyADPtheDETeagleNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhichwhichPRONPronType=Rel4 followingnsubj
2ofofADP_4 followingcase
3thetheDETDefinite=Def PronType=Art4 followingdet
4followingfollowVERBTense=Pres VerbForm=Partrootroot
5accuratelyaccuratelyADV_6 describesadvmod
6describesdescribeVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin4 followingadvcl
7thetheDETDefinite=Def PronType=Art8 instructionsdet
8instructionsinstructionNOUNNumber=Plur6 describesobj
9conveyedconveyVERBTense=Past VerbForm=Part Voice=Pass8 instructionsacl
10bybyADP_12 eaglecase
11thetheDETDefinite=Def PronType=Art12 eagledet
12eagleeagleNOUNNumber=Sing9 conveyedobl
13??PUNCT_4 followingpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1followgerundvn occur-48.3-1 «NP V»: agent=Theme
2describepresentthe instructionsaccurately propertyvn characterize-29.2-1-1 «NP V NP S_ING»: agent=Agent instruction=Theme
3conveyparticiplethe instructions not said hereby the eaglevn say-37.7-1-1 «NP V that S»: agent=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.

The options

Option 1

Bathe in the river, become a swan, and pull the lily's petals

The tree, 13 words
nsubjcasedetnmodpunctdetxcomppunctccparataxisdetnmod:posscaseobjrootBatheNOUNinADPtheDETriverNOUN,PUNCTbecomeVERBaDETswanNOUN,PUNCTandCCONJpullVERBtheDETlilyNOUN'sPARTpetalsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1BathebatheNOUNNumber=Sing6 becomensubj
2ininADP_4 rivercase
3thetheDETDefinite=Def PronType=Art4 riverdet
4riverriverNOUNNumber=Sing1 Bathenmod
5,,PUNCT_6 becomepunct
6becomebecomeVERBVerbForm=Infrootroot
7aaDETDefinite=Ind PronType=Art8 swandet
8swanswanNOUNNumber=Sing6 becomexcomp
9,,PUNCT_11 pullpunct
10andandCCONJ_11 pullcc
11pullpullVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin6 becomeparataxis
12thetheDETDefinite=Def PronType=Art13 lilydet
13lilylilyNOUNNumber=Sing15 petalsnmod:poss
14's'sPART_13 lilycase
15petalspetalNOUNNumber=Plur11 pullobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1becomeinfinitiveBathe in the rivera swanvn become-109.1-1-1 «NP V PP.attribute»: agent=Patient
2pullpresentthe lily's petalsvn push-12-1 «NP V NP»: agent=Agent petal=Theme

Option 2

Wash in the mill stream, transform into a frog, and cut the reeds

The tree, 13 words
casedetcompoundoblpunctconjcasedetoblpunctccparataxisdetobjrootWashVERBinADPtheDETmillNOUNstreamNOUN,PUNCTtransformNOUNintoADPaDETfrogNOUN,PUNCTandCCONJcutVERBtheDETreedsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WashwashVERBMood=Imp VerbForm=Finrootroot
2ininADP_5 streamcase
3thetheDETDefinite=Def PronType=Art5 streamdet
4millmillNOUNNumber=Sing5 streamcompound
5streamstreamNOUNNumber=Sing1 Washobl
6,,PUNCT_7 transformpunct
7transformtransformNOUNNumber=Sing5 streamconj
8intointoADP_10 frogcase
9aaDETDefinite=Ind PronType=Art10 frogdet
10frogfrogNOUNNumber=Sing1 Washobl
11,,PUNCT_13 cutpunct
12andandCCONJ_13 cutcc
13cutcutVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin1 Washparataxis
14thetheDETDefinite=Def PronType=Art15 reedsdet
15reedsreedNOUNNumber=Plur13 cutobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1washimperativeyou not said herethe mill stream and transforminto a frogvn floss-41.2.1 «NP V»: agent=Agent
2cutpastthe reedsvn build-26.1-1 «NP.asset V NP»: agent=Asset reed=Product

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

Smear oneself with mud, become a crab, and loosen the lily's roots

The tree, 13 words
objcaseoblpunctconjdetxcomppunctccconjdetnmod:posscaseobjrootSmearVERBoneselfPRONwithADPmudNOUN,PUNCTbecomeVERBaDETcrabNOUN,PUNCTandCCONJloosenVERBtheDETlilyNOUN'sPARTrootsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SmearsmearVERBMood=Imp VerbForm=Finrootroot
2oneselfoneselfPRONCase=Acc Person=3 PronType=Prs Reflex=Yes1 Smearobj
3withwithADP_4 mudcase
4mudmudNOUNNumber=Sing1 Smearobl
5,,PUNCT_6 becomepunct
6becomebecomeVERBMood=Imp VerbForm=Fin1 Smearconj
7aaDETDefinite=Ind PronType=Art8 crabdet
8crabcrabNOUNNumber=Sing6 becomexcomp
9,,PUNCT_11 loosenpunct
10andandCCONJ_11 loosencc
11loosenloosenVERBMood=Imp VerbForm=Fin1 Smearconj
12thetheDETDefinite=Def PronType=Art13 lilydet
13lilylilyNOUNNumber=Sing15 rootsnmod:poss
14's'sPART_13 lilycase
15rootsrootNOUNNumber=Plur11 loosenobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1smearimperativeyou not said hereoneselfwith mudvn spray-9.7-1 «NP V NP.destination PP.theme»: agent=Agent oneself=Destination with mud=Theme
2becomeinfinitiveyou not said herea crabvn become-109.1-1-1 «NP V PP.attribute»: agent=Patient
3looseninfinitiveyou not said herethe lily's rootsvn other_cos-45.4 «NP V NP.patient»: agent=Agent root=Patient

Option 4

Smear oneself with mud, become a crab, creep into the river at night, and loosen the lily's roots with your claws before dawn

The tree, 24 words
objcaseoblpunctconjdetxcomppunctconjcasedetoblcaseoblpunctccconjdetnmod:posscaseobjcasenmod:possoblcaseoblrootSmearVERBoneselfPRONwithADPmudNOUN,PUNCTbecomeVERBaDETcrabNOUN,PUNCTcreepVERBintoADPtheDETriverNOUNatADPnightNOUN,PUNCTandCCONJloosenVERBtheDETlilyNOUN'sPARTrootsNOUNwithADPyourPRONclawsNOUNbeforeADPdawnNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SmearsmearVERBMood=Imp VerbForm=Finrootroot
2oneselfoneselfPRONCase=Acc Person=3 PronType=Prs Reflex=Yes1 Smearobj
3withwithADP_4 mudcase
4mudmudNOUNNumber=Sing1 Smearobl
5,,PUNCT_6 becomepunct
6becomebecomeVERBMood=Imp VerbForm=Fin1 Smearconj
7aaDETDefinite=Ind PronType=Art8 crabdet
8crabcrabNOUNNumber=Sing6 becomexcomp
9,,PUNCT_10 creeppunct
10creepcreepVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin1 Smearconj
11intointoADP_13 rivercase
12thetheDETDefinite=Def PronType=Art13 riverdet
13riverriverNOUNNumber=Sing10 creepobl
14atatADP_15 nightcase
15nightnightNOUNNumber=Sing10 creepobl
16,,PUNCT_18 loosenpunct
17andandCCONJ_18 loosencc
18loosenloosenVERBMood=Imp VerbForm=Fin1 Smearconj
19thetheDETDefinite=Def PronType=Art20 lilydet
20lilylilyNOUNNumber=Sing22 rootsnmod:poss
21's'sPART_20 lilycase
22rootsrootNOUNNumber=Plur18 loosenobj
23withwithADP_25 clawscase
24youryourPRONCase=Gen Person=2 Poss=Yes PronType=Prs25 clawsnmod:poss
25clawsclawNOUNNumber=Plur18 loosenobl
26beforebeforeADP_27 dawncase
27dawndawnNOUNNumber=Sing18 loosenobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1smearimperativeyou not said hereoneselfwith mudvn spray-9.7-1 «NP V NP.destination PP.theme»: agent=Agent oneself=Destination with mud=Theme
2becomeinfinitiveyou not said herea crabvn become-109.1-1-1 «NP V PP.attribute»: agent=Patient
3creeppresentyou not said herethe rivernightvn run-51.3.2 «NP V PP.location»: agent=Theme into river=Destination
4looseninfinitiveyou not said herethe lily's rootsdawnwith your clawsvn other_cos-45.4 «NP V NP PP.instrument»: agent=Agent root=Patient with claw=Instrument

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/books/1455-pg503-part42/e4/