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Test 13 · ★ · Japanese Fairy Tales, The Old Man Who Made the Trees Bloss…

Why did the old man want the ashes, like, what's the reason?

Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: old man · What happens: want, be · To what, where: ashes

This is test 13 · ★ of lesson 1370 «Japanese Fairy Tales, The Old Man Who Made the Trees Blossom: the ashes bring a dead cherry tree into bloom, and the greedy neighbor is jailed» 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

advmodauxdetamodnsubjdetobjpunctcasepunctnsubjcopdetparataxispunctrootWhyADVdidAUXtheDEToldADJmanNOUNwantVERBtheDETashesNOUN,PUNCTlikeADP,PUNCTwhatPRON'sAUXtheDETreasonNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhywhyADVPronType=Int6 wantadvmod
2diddoAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin6 wantaux
3thetheDETDefinite=Def PronType=Art5 mandet
4oldoldADJDegree=Pos5 manamod
5manmanNOUNNumber=Sing6 wantnsubj
6wantwantVERBVerbForm=Infrootroot
7thetheDETDefinite=Def PronType=Art8 ashesdet
8ashesashNOUNNumber=Plur6 wantobj
9,,PUNCT_15 reasonpunct
10likelikeADP_15 reasoncase
11,,PUNCT_10 likepunct
12whatwhatPRONPronType=Int15 reasonnsubj
13'sbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin15 reasoncop
14thetheDETDefinite=Def PronType=Art15 reasondet
15reasonreasonNOUNNumber=Sing6 wantparataxis
16??PUNCT_6 wantpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1wantpast · do-supportthe old manthe ashesvn want-32.1-1-1 «NP V NP ADV»: agent=Pivot ash=Theme
2ispresentlike the reasontree 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

To feed birds

markobjrootToPARTfeedVERBbirdsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TotoPART_2 feedmark
2feedfeedVERBMood=Imp VerbForm=Finrootroot
3birdsbirdNOUNNumber=Plur2 feedobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1feedto-infinitivebirdsvn feeding-39.7 «NP V NP»: agent=Agent bird=Recipient

Option 2 · ✓ the right answer

To remember his dog

marknmod:possobjrootToPARTrememberVERBhisPRONdogNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TotoPART_2 remembermark
2rememberrememberVERBMood=Imp VerbForm=Finrootroot
3hishisPRONCase=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs4 dognmod:poss
4dogdogNOUNNumber=Sing2 rememberobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1rememberto-infinitivehis dogvn characterize-29.2-1-1 «NP V NP S_ING»: agent=Agent dog=Theme

Option 3

To honor his old cat

marknmod:possamodobjrootToPARThonorVERBhisPRONoldADJcatNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TotoPART_2 honormark
2honorhonorVERBMood=Imp VerbForm=Finrootroot
3hishisPRONCase=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs5 catnmod:poss
4oldoldADJDegree=Pos5 catamod
5catcatNOUNNumber=Sing2 honorobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1honorto-infinitivehis old catvn judgment-33.1-1 «NP V NP»: agent=Agent cat=Theme

Option 4

To find a pet

markdetobjrootToPARTfindVERBaDETpetNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1TotoPART_2 findmark
2findfindVERBMood=Imp VerbForm=Finrootroot
3aaDETDefinite=Ind PronType=Art4 petdet
4petpetNOUNNumber=Sing2 findobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1findto-infinitivea petvn discover-84 «NP V NP»: agent=Agent pet=Topic

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/1370-pg4018-part30/t13/