Mova0.5 pre-release⌕
☰
home / corpora / questions / Books / Famous Tales, Picciola, part 21: Charn… / t10

Test 10 · ★ · Famous Tales, Picciola, part 21: Charney's plant is saved,…

ok but how did Wilhelm get her?

Mova's choice: option 4 · The right answer: option 2 · wrong ✗ · Who acts: Wilhelm · What happens: get · To what, where: her

This is test 10 · ★ of lesson 361 «Famous Tales, Picciola, part 21: Charney's plant is saved, and Mignon dances» 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

ccadvmodauxnsubjconjobjpunctrootokADJbutCCONJhowADVdidAUXWilhelmPROPNgetVERBherPRON?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1okokADJDegree=Posrootroot
2butbutCCONJ_6 getcc
3howhowADVPronType=Int6 getadvmod
4diddoAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin6 getaux
5WilhelmWilhelmPROPNNumber=Sing6 getnsubj
6getgetVERBVerbForm=Inf1 okconj
7hershePRONCase=Acc Gender=Fem Number=Sing Person=3 PronType=Prs6 getobj
8??PUNCT_1 okpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1getpast · do-supportWilhelmher = shevn comprehend-87.2-1 «NP V NP»: agent=Experiencer she=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.

The options

Option 1

he traded his old horse

nsubjnmod:possamodobjroothePRONtradedVERBhisPRONoldADJhorseNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs2 tradednsubj
2tradedtradeVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3hishisPRONCase=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs5 horsenmod:poss
4oldoldADJDegree=Pos5 horseamod
5horsehorseNOUNNumber=Sing2 tradedobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1tradepasthehis old horsevn exchange-13.6.1 «NP V NP»: agent=Agent horse=Theme

Option 2 · ✓ the right answer

paid for her clothes

casenmod:possoblrootpaidVERBforADPherPRONclothesNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1paidpayVERBMood=Ind Number=Sing Person=1 Tense=Past VerbForm=Finrootroot
2forforADP_4 clothescase
3herherPRONCase=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs4 clothesnmod:poss
4clothesclothesNOUNNumber=Ptan1 paidobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1paypastfor her clothesvn pay-68-1 «NP V NP PP.theme»: agent=Agent for clothes=Theme

Option 3

he paid a coin or two

nsubjdetobjccconjroothePRONpaidVERBaDETcoinNOUNorCCONJtwoNUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs2 paidnsubj
2paidpayVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3aaDETDefinite=Ind PronType=Art4 coindet
4coincoinNOUNNumber=Sing2 paidobj
5ororCCONJ_6 twocc
6twotwoNUMNumForm=Word NumType=Card4 coinconj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1paypasthea coinvn pay-68-1 «NP V NP»: agent=Agent coin=Asset

Option 4 · ← Mova's choice

he bought her

nsubjiobjroothePRONboughtVERBherPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs2 boughtnsubj
2boughtbuyVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
3hershePRONCase=Acc Gender=Fem Number=Sing Person=3 PronType=Prs2 boughtiobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1buypastheher = shevn accept-77.1 «NP V NP»: agent=Agent she=Theme

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/361-pg18442-part21/t10/