Mova0.5 pre-release⌕
☰
home / corpora / questions / Books / Grimm, King Grisly-beard, part 59: a p… / t3

Test 3 · ★ · Grimm, King Grisly-beard, part 59: a proud princess is mar…

bruh how many farthings did he lose at nine-pins?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: many farthings · What happens: lose · To what, where: nine pins

This is test 3 · ★ of lesson 783 «Grimm, King Grisly-beard, part 59: a proud princess is married off to a beggar fiddler» 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

discourseadvmodamodnsubjauxnsubjcasenummodpunctoblpunctrootbruhINTJhowADVmanyADJfarthingsNOUNdidAUXhePRONloseVERBatADPnineNUM-PUNCTpinsNOUN?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1bruhbruhINTJ_7 losediscourse
2howhowADVPronType=Int3 manyadvmod
3manymanyADJDegree=Pos4 farthingsamod
4farthingsfarthingNOUNNumber=Plur7 losensubj
5diddoAUXMood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin7 loseaux
6hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs7 losensubj
7loseloseVERBVerbForm=Infrootroot
8atatADP_11 pinscase
9ninenineNUMNumForm=Word NumType=Card11 pinsnummod
10--PUNCT_9 ninepunct
11pinspinNOUNNumber=Plur7 loseobl
12??PUNCT_7 losepunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1losepast · do-supportmany farthingsnine pinsvn succeed-74-3-1 «NP V PP.eventuality S_ING»: agent=Agent at pin=Eventuality

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

a couple, which is like nothing

detpunctnsubjcopcaseapposrootaDETcoupleNOUN,PUNCTwhichPRONisAUXlikeADPnothingPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1aaDETDefinite=Ind PronType=Art2 coupledet
2couplecoupleNOUNNumber=Singrootroot
3,,PUNCT_7 nothingpunct
4whichwhichPRONPronType=Rel7 nothingnsubj
5isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 nothingcop
6likelikeADP_7 nothingcase
7nothingnothingPRONNumber=Sing PronType=Neg2 coupleappos
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1ispresenta couplelike nothingtree rules

Option 2

a few, so what

detnsubjpunctadvmodrootaDETfewADJ,PUNCTsoADVwhatPRON
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1aaDETDefinite=Ind PronType=Art2 fewdet
2fewfewADJDegree=Pos5 whatnsubj
3,,PUNCT_5 whatpunct
4sosoADV_5 whatadvmod
5whatwhatPRONPronType=Introotroot

The frames reader finds no event or fact in this sentence.

Option 3

a dozen, which is quite a lot

detpunctnsubjcopdet:predetdetconjrootaDETdozenNUM,PUNCTwhichPRONisAUXquiteDETaDETlotNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1aaDETDefinite=Ind PronType=Art2 dozendet
2dozendozenNUMNumForm=Word NumType=Cardrootroot
3,,PUNCT_8 lotpunct
4whichwhichPRONPronType=Rel8 lotnsubj
5isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin8 lotcop
6quitequiteDETPronType=Ind8 lotdet:predet
7aaDETDefinite=Ind PronType=Art8 lotdet
8lotlotNOUNNumber=Sing2 dozenconj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresentquite lottree rules

Option 4

just two, not much

advmodpunctadvmodadvmodrootjustADVtwoNUM,PUNCTnotPARTmuchADV
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1justjustADV_2 twoadvmod
2twotwoNUMNumForm=Word NumType=Cardrootroot
3,,PUNCT_5 muchpunct
4notnotPARTPolarity=Neg5 muchadvmod
5muchmuchADV_2 twoadvmod

The frames reader finds no event or fact in this sentence.

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/783-pg2591-part59/t3/