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Test 4 · ★★ · Reading people in hard times: what's really behind the mea…

Josh says, "She was well grumpy, she must hate me." Later he hears about her dog. What helped Josh?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Josh, he · What happens: say, be, hate, hear, help · To what, where: Josh · Speech: someone speaks here

This is test 4 · ★★ of lesson 28 «Reading people in hard times: what's really behind the mean face» of the reflection 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: Josh says, "She was well grumpy, she must hate me."

nsubjpunctpunctnsubjcopadvmodccomppunctnsubjauxparataxisobjpunctpunctrootJoshPROPNsaysVERB,PUNCT"PUNCTShePRONwasAUXwellADVgrumpyADJ,PUNCTshePRONmustAUXhateVERBmePRON.PUNCT"PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1JoshJoshPROPNNumber=Sing2 saysnsubj
2sayssayVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
3,,PUNCT_8 grumpypunct
4""PUNCT_8 grumpypunct
5SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs8 grumpynsubj
6wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin8 grumpycop
7wellwellADVDegree=Pos8 grumpyadvmod
8grumpygrumpyADJDegree=Pos2 saysccomp
9,,PUNCT_12 hatepunct
10sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs12 hatensubj
11mustmustAUXVerbForm=Fin12 hateaux
12hatehateVERBVerbForm=Inf8 grumpyparataxis
13meIPRONCase=Acc Number=Sing Person=1 PronType=Prs12 hateobj
14..PUNCT_2 sayspunct
15""PUNCT_2 sayspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertpresentJoshvn say-37.7-1-1 «NP V that S»: agent=Agent
2is in a quotepastJoshgrumpy, well propertytree rules
3hate in a quotemustJoshJoshvn admire-31.2-1 «NP V NP»: agent=Experiencer i=Stimulus

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: Later he hears about her dog.

advmodnsubjcasenmod:possoblpunctrootLaterADVhePRONhearsVERBaboutADPherPRONdogNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1LaterlateADVDegree=Cmp3 hearsadvmod
2hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs3 hearsnsubj
3hearshearVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
4aboutaboutADP_6 dogcase
5herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs6 dognmod:poss
6dogdogNOUNNumber=Sing3 hearsobl
7..PUNCT_3 hearspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1hearpresentheabout Josh's dog; late propertyvn see-30.1-1-1 «NP V PP.stimulus»: agent=Experiencer about dog=Stimulus

Sentence 3: What helped Josh?

nsubjobjpunctrootWhatPRONhelpedVERBJoshPROPN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int2 helpednsubj
2helpedhelpVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3JoshJoshPROPNNumber=Sing2 helpedobj
4??PUNCT_2 helpedpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1helppastJoshvn help-72.1-1-1 «NP V NP»: agent=Agent josh=Beneficiary

The options

Option 1 · ← Mova's choice

Being rude back to her

copcsubjcaseoblrootBeingAUXrudeADJbackADVtoADPherPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1BeingbeAUXTense=Pres VerbForm=Part2 rudecop
2ruderudeADJDegree=Pos3 backcsubj
3backbackADV_rootroot
4totoADP_5 hercase
5hershePRONCase=Acc Gender=Fem Number=Sing Person=3 PronType=Prs3 backobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1isgerundrude propertytree rules

Option 2

Asking for a new teacher

casedetamodoblrootAskingVERBforADPaDETnewADJteacherNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AskingaskVERBTense=Pres VerbForm=Partrootroot
2forforADP_5 teachercase
3aaDETDefinite=Ind PronType=Art5 teacherdet
4newnewADJDegree=Pos5 teacheramod
5teacherteacherNOUNNumber=Sing1 Askingobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ask speech: askgerundfor a new teachervn inquire-37.1.2 «NP V»: agent=Agent

Option 3 · ✓ the right answer

Drawing her a card

objdetobjrootDrawingVERBherPRONaDETcardNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1DrawingdrawVERBTense=Pres VerbForm=Partrootroot
2hershePRONCase=Acc Gender=Fem Number=Sing Person=3 PronType=Prs1 Drawingobj
3aaDETDefinite=Ind PronType=Art4 carddet
4cardcardNOUNNumber=Sing1 Drawingobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1drawgerundher = shevn create-26.4-1-1 «NP V NP.beneficiary NP»: agent=Agent she=Beneficiary card=Result

Option 4

Telling her she was unfair

iobjnsubjcopccomprootTellingVERBherPRONshePRONwasAUXunfairADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TellingtellVERBTense=Pres VerbForm=Partrootroot
2hershePRONCase=Acc Gender=Fem Number=Sing Person=3 PronType=Prs1 Tellingiobj
3sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs5 unfairnsubj
4wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin5 unfaircop
5unfairunfairADJDegree=Pos1 Tellingccomp
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1tell speech: assertgerundher = shevn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent she=Recipient
2ispastsheunfair 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/reflection/28-reading-people-in-hard-times-whats-really-behind-the-mean-face/t4/