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Test 14 · ★ · Grimm, Little Snow-White, part 30: the witch chases the lo…

Why was the queen so jealous, mate?

Mova's choice: option 3 · The right answer: option 2 · wrong ✗ · Who acts: queen · What happens: be

This is test 14 · ★ of lesson 754 «Grimm, Little Snow-White, part 30: the witch chases the lovers, Roland forgets, and Snowdrop is sent into the wood» of the books 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

advmodcopdetnsubjadvmodpunctvocativepunctrootWhyADVwasAUXtheDETqueenNOUNsoADVjealousADJ,PUNCTmateNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhywhyADVPronType=Int6 jealousadvmod
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin6 jealouscop
3thetheDETDefinite=Def PronType=Art4 queendet
4queenqueenNOUNNumber=Sing6 jealousnsubj
5sosoADV_6 jealousadvmod
6jealousjealousADJDegree=Posrootroot
7,,PUNCT_8 matepunct
8matemateNOUNNumber=Sing6 jealousvocative
9??PUNCT_6 jealouspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispastthe queenmate vocative; jealous 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

Her maid said Snowdrop was prettier

nmod:possnsubjnsubjcopconjrootHerPRONmaidNOUNsaidVERBSnowdropPROPNwasAUXprettierADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1HerherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs2 maidnmod:poss
2maidmaidNOUNNumber=Sing3 saidnsubj
3saidsayVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4SnowdropSnowdropPROPNNumber=Sing3 saidnsubj
5wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin6 prettiercop
6prettierprettyADJDegree=Cmp4 Snowdropconj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertpastHer maidvn say-37.7-1-1 «NP V that S»: agent=Agent
2ispastHer maid not said herepretty propertytree rules

Option 2 · ✓ the right answer

Her glass said Snowdrop was fairer

nmod:possnsubjnsubjcopccomprootHerPRONglassNOUNsaidVERBSnowdropPROPNwasAUXfairerADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1HerherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs2 glassnmod:poss
2glassglassNOUNNumber=Sing3 saidnsubj
3saidsayVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4SnowdropSnowdropPROPNNumber=Sing6 fairernsubj
5wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin6 fairercop
6fairerfairADJDegree=Cmp3 saidccomp
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertpastHer glassvn say-37.7-1-1 «NP V that S»: agent=Agent
2ispastSnowdropfair propertytree rules

Option 3 · ← Mova's choice

Snowdrop was younger

copflatrootSnowdropPROPNwasAUXyoungerADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SnowdropSnowdropPROPNNumber=Singrootroot
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin3 youngercop
3youngeryoungADJDegree=Cmp1 Snowdropflat
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispastyoung propertytree rules

Option 4

She was angry

nsubjcoprootShePRONwasAUXangryADJ
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs3 angrynsubj
2wasbeAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin3 angrycop
3angryangryADJDegree=Posrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispastSheangry 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/books/754-pg2591-part30/t14/