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Test 8 · ★ · Peter Pan, Peter Pan, part 4: Father's bad medicine, Nana…

Nah, what did Nana actually do with that medicine?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · What happens: do

This is test 8 · ★ of lesson 313 «Peter Pan, Peter Pan, part 4: Father's bad medicine, Nana tied up, the stars call for the grown-ups to leave» 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

discoursepunctauxacl:relcladvmodacl:relclcasedetoblpunctrootNahINTJ,PUNCTwhatPRONdidAUXNanaPROPNactuallyADVdoVERBwithADPthatDETmedicineNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1NahnahINTJ_3 whatdiscourse
2,,PUNCT_1 Nahpunct
3whatwhatPRONPronType=Introotroot
4diddoAUXMood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin5 Nanaaux
5NanaNanaPROPNNumber=Sing3 whatacl:relcl
6actuallyactuallyADV_7 doadvmod
7dodoVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin3 whatacl:relcl
8withwithADP_10 medicinecase
9thatthatDETNumber=Sing PronType=Dem10 medicinedet
10medicinemedicineNOUNNumber=Sing7 doobl
11??PUNCT_3 whatpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dopresentwith that medicine; actually propertyvn act-114-1 «NP V»: agent=Agent

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 · ✓ the right answer

Lapped it up

objcompound:prtrootLappedVERBitPRONupADP
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1LappedlapVERBTense=Past VerbForm=Part Voice=Passrootroot
2ititPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs1 Lappedobj
3upupADP_1 Lappedcompound:prt
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1lap upparticipleitvn chew-39.2 «NP V NP»: agent=Agent it=Patient

Option 2

Ate it

objrootAteVERBitPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AteeatVERBMood=Ind Number=Sing Person=1 Tense=Past VerbForm=Finrootroot
2ititPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs1 Ateobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1eatpastitvn eat-39.1-1 «NP V NP»: agent=Agent it=Patient

Option 3

Spat it out

objcompound:prtrootSpatVERBitPRONoutADP
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SpatspatVERBMood=Imp VerbForm=Finrootroot
2ititPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs1 Spatobj
3outoutADP_1 Spatcompound:prt
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1spat outimperativeyou not said hereittree rules

Option 4

Sniffed

rootSniffedVERB
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SniffedsniffVERBTense=Past VerbForm=Part Voice=Passrootroot
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1sniffparticiplevn nonverbal_expression-40.2 «NP V»: agent=Agent

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/313-pg16-part4/t8/