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Test 9 · ★ · Inference: reading between the lines

«Maya smiled so she's fine, case closed». What would a good detective say?

Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Maya, good detective · What happens: smile, be, close, say · To what, where: case · Speech: someone speaks here

This is test 9 · ★ of lesson 18 «Inference: reading between the lines» of the English 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: «Maya smiled so she's fine, case closed».

punctnsubjadvmodnsubjcopccomppunctparataxisaclpunctpunctroot«PUNCTMayaPROPNsmiledVERBsoADVshePRON'sAUXfineADJ,PUNCTcaseNOUNclosedVERB»PUNCT.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1««PUNCT_3 smiledpunct
2MayaMayaPROPNNumber=Sing3 smilednsubj
3smiledsmileVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4sosoADV_7 fineadvmod
5sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs7 finensubj
6'sbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 finecop
7finefineADJDegree=Pos3 smiledccomp
8,,PUNCT_9 casepunct
9casecaseNOUNNumber=Sing7 fineparataxis
10closedcloseVERBTense=Past VerbForm=Part Voice=Pass9 caseacl
11»»PUNCT_10 closedpunct
12..PUNCT_3 smiledpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1smile in a quotepastMayavn manner_speaking-37.3 «NP V»: agent=Agent
2is in a quotepresentMayafine propertytree rules
3close in a quoteparticiplecase not said herevn other_cos-45.4 «NP.patient V»: agent=Patient

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: What would a good detective say?

objauxdetamodnsubjpunctrootWhatPRONwouldAUXaDETgoodADJdetectiveNOUNsayVERB?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int6 sayobj
2wouldwouldAUXVerbForm=Fin6 sayaux
3aaDETDefinite=Ind PronType=Art5 detectivedet
4goodgoodADJDegree=Pos5 detectiveamod
5detectivedetectiveNOUNNumber=Sing6 saynsubj
6saysayVERBVerbForm=Infrootroot
7??PUNCT_6 saypunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertwoulda good detectivevn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic

The options

Option 1 · ← Mova's choice

She's laughing at Tess

nsubjauxcaseoblrootShePRON'sAUXlaughingVERBatADPTessPROPN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs3 laughingnsubj
2'sbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin3 laughingaux
3laughinglaughVERBTense=Pres VerbForm=Partrootroot
4atatADP_5 Tesscase
5TessTessPROPNNumber=Sing3 laughingobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1laughpresent · progressiveSheTessvn nonverbal_expression-40.2 «NP V»: agent=Agent

Option 2

Smiles never lie, so she must be absolutely fine and happy

nsubjadvmodpunctadvmodnsubjauxcopadvmodconjccconjrootSmilesNOUNneverADVlieVERB,PUNCTsoADVshePRONmustAUXbeAUXabsolutelyADVfineADJandCCONJhappyADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SmilessmileNOUNNumber=Plur3 liensubj
2neverneverADVPronType=Neg3 lieadvmod
3lielieVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
4,,PUNCT_10 finepunct
5sosoADV_10 fineadvmod
6sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs10 finensubj
7mustmustAUXVerbForm=Fin10 fineaux
8bebeAUXVerbForm=Inf10 finecop
9absolutelyabsolutelyADV_10 fineadvmod
10finefineADJDegree=Pos3 lieconj
11andandCCONJ_12 happycc
12happyhappyADJDegree=Pos10 fineconj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1not liepresentSmilesvn assuming_position-50 «NP V»: agent=Agent
2ismustsheabsolutely, fine propertytree rules
3beshe not said heretree rules

Option 3 · ✓ the right answer

Her sad eyes show she's hiding how she feels

nmod:possamodnsubjnsubjauxccompadvmodnsubjccomprootHerPRONsadADJeyesNOUNshowVERBshePRON'sAUXhidingVERBhowADVshePRONfeelsVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1HerherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs3 eyesnmod:poss
2sadsadADJDegree=Pos3 eyesamod
3eyeseyeNOUNNumber=Plur4 shownsubj
4showshowVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
5sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs7 hidingnsubj
6'sbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 hidingaux
7hidinghideVERBTense=Pres VerbForm=Part4 showccomp
8howhowADVPronType=Int10 feelsadvmod
9sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs10 feelsnsubj
10feelsfeelVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 hidingccomp
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1showpresentHer sad eyesvn transfer_mesg-37.1.1-1-1 «NP V how S»: agent=Agent clause=Topic
2hidepresent · progressiveshetree rules
3feelpresentshevn stimulus_subject-30.4 «NP V PP.attribute»: agent=Stimulus

Option 4

We can't know anything from faces

nsubjauxadvmodobjcaseoblrootWePRONcaAUXn'tPARTknowVERBanythingPRONfromADPfacesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WewePRONCase=Nom Number=Plur Person=1 PronType=Prs4 knownsubj
2cacanAUXVerbForm=Fin4 knowaux
3n'tnotPARTPolarity=Neg4 knowadvmod
4knowknowVERBVerbForm=Infrootroot
5anythinganythingPRONNumber=Sing PronType=Ind4 knowobj
6fromfromADP_7 facescase
7facesfaceNOUNNumber=Plur4 knowobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1not knowcanWeanythingfacesvn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer anything=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/english/18-inference-reading-between-the-lines/t9/