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Exam question 4 · Blending, segmenting and the Year 1 check

Which of the following statements most accurately characterises the relation between decoding and comprehension?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · What happens: follow, characteris · To what, where: relation

This is exam question 4 of lesson 2 «Blending, segmenting and the Year 1 check» of the English 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

nsubjcasedetamodobladvmodadvmoddetobjcasenmodccconjpunctrootWhichPRONofADPtheDETfollowingVERBstatementsNOUNmostADVaccuratelyADVcharacterisesVERBtheDETrelationNOUNbetweenADPdecodingNOUNandCCONJcomprehensionNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhichwhichPRONPronType=Rel8 characterisesnsubj
2ofofADP_5 statementscase
3thetheDETDefinite=Def PronType=Art5 statementsdet
4followingfollowVERBVerbForm=Ger5 statementsamod
5statementsstatementNOUNNumber=Plur8 characterisesobl
6mostmostADVDegree=Sup7 accuratelyadvmod
7accuratelyaccuratelyADV_8 characterisesadvmod
8characterisescharacterisVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
9thetheDETDefinite=Def PronType=Art10 relationdet
10relationrelationNOUNNumber=Sing8 characterisesobj
11betweenbetweenADP_12 decodingcase
12decodingdecodingNOUNNumber=Sing10 relationnmod
13andandCCONJ_14 comprehensioncc
14comprehensioncomprehensionNOUNNumber=Sing12 decodingconj
15??PUNCT_8 characterisespunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1followgerundvn occur-48.3-1 «NP V»: agent=Theme
2characterispresentthe relationof the following statements; between decoding and comprehension; accurately propertytree rules

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 · ← Mova's choice · ✓ the right answer

They are distinct skills; a pupil may decode a text without comprehending it

nsubjcopamodpunctdetnsubjauxparataxisdetobjmarkadvclobjrootTheyPRONareAUXdistinctADJskillsNOUN;PUNCTaDETpupilNOUNmayAUXdecodeVERBaDETtextNOUNwithoutSCONJcomprehendingVERBitPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TheytheyPRONCase=Nom Number=Plur Person=3 PronType=Prs4 skillsnsubj
2arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin4 skillscop
3distinctdistinctADJDegree=Pos4 skillsamod
4skillsskillNOUNNumber=Plurrootroot
5;;PUNCT_9 decodepunct
6aaDETDefinite=Ind PronType=Art7 pupildet
7pupilpupilNOUNNumber=Sing9 decodensubj
8maymayAUXVerbForm=Fin9 decodeaux
9decodedecodeVERBVerbForm=Inf4 skillsparataxis
10aaDETDefinite=Ind PronType=Art11 textdet
11texttextNOUNNumber=Sing9 decodeobj
12withoutwithoutSCONJ_13 comprehendingmark
13comprehendingcomprehendVERBTense=Pres VerbForm=Part9 decodeadvcl
14ititPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs13 comprehendingobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresentTheydistinct skillstree rules
2decodemaya pupila texttree rules
3comprehendgerunda pupil not said heretextvn comprehend-87.2-1 «NP V NP»: agent=Experiencer it=Stimulus

Option 2

Comprehension invariably follows from accurate decoding

nsubjadvmodcaseamodoblrootComprehensionNOUNinvariablyADVfollowsVERBfromADPaccurateADJdecodingNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ComprehensioncomprehensionNOUNNumber=Sing3 followsnsubj
2invariablyinvariablyADV_3 followsadvmod
3followsfollowVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
4fromfromADP_6 decodingcase
5accurateaccurateADJDegree=Pos6 decodingamod
6decodingdecodingNOUNNumber=Sing3 followsobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1followpresentComprehensionaccurate decodinginvariably propertyvn chase-51.6 «NP V NP PP.location»: agent=Agent from decoding=Trajectory

Option 3

Decoding is impossible without prior comprehension of the text

nsubjcopcaseamodoblcasedetnmodrootDecodingNOUNisAUXimpossibleADJwithoutADPpriorADJcomprehensionNOUNofADPtheDETtextNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1DecodingdecodingNOUNNumber=Sing3 impossiblensubj
2isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin3 impossiblecop
3impossibleimpossibleADJDegree=Posrootroot
4withoutwithoutADP_6 comprehensioncase
5priorpriorADJDegree=Pos6 comprehensionamod
6comprehensioncomprehensionNOUNNumber=Sing3 impossibleobl
7ofofADP_9 textcase
8thetheDETDefinite=Def PronType=Art9 textdet
9texttextNOUNNumber=Sing6 comprehensionnmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispresentDecodingwithout prior comprehension of the text; impossible propertytree rules
2comprehendthe textnom comprehension «cognition transitive»: of=patient

Option 4

They are a single skill bearing two names

nsubjcopdetamodaclnummodobjrootTheyPRONareAUXaDETsingleADJskillNOUNbearingVERBtwoNUMnamesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TheytheyPRONCase=Nom Number=Plur Person=3 PronType=Prs5 skillnsubj
2arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin5 skillcop
3aaDETDefinite=Ind PronType=Art5 skilldet
4singlesingleADJDegree=Pos5 skillamod
5skillskillNOUNNumber=Singrootroot
6bearingbearVERBVerbForm=Ger5 skillacl
7twotwoNUMNumForm=Word NumType=Card8 namesnummod
8namesnameNOUNNumber=Plur6 bearingobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresentTheya single skilltree rules
2beargerunda single skill not said heretwo namesvn birth-28.2-1-1 «NP V NP»: agent=Agent name=Patient

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/english/2-blending-segmenting-and-the-year-1-check/e4/