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Test 2 · ★ · Tu or vous? Manners in French

Emma's cousin nearly falls over laughing when she says vous to his dog. Why?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: cousin · What happens: fall, laugh, say · To what, where: vous, dog · Speech: someone speaks here

This is test 2 · ★ of lesson 5 «Tu or vous? Manners in French» of the French 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

Sentence 1: Emma's cousin nearly falls over laughing when she says vous to his dog.

nmod:posscasensubjadvmodmarkadvcladvmodnsubjadvclobjcasenmod:possoblpunctrootEmmaPROPN'sPARTcousinNOUNnearlyADVfallsVERBoverSCONJlaughingVERBwhenADVshePRONsaysVERBvousXtoADPhisPRONdogNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1EmmaEmmaPROPNNumber=Sing3 cousinnmod:poss
2's'sPART_1 Emmacase
3cousincousinNOUNNumber=Sing5 fallsnsubj
4nearlynearlyADV_5 fallsadvmod
5fallsfallVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Finrootroot
6overoverSCONJ_7 laughingmark
7laughinglaughVERBVerbForm=Ger5 fallsadvcl
8whenwhenADVPronType=Int10 saysadvmod
9sheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs10 saysnsubj
10sayssayVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 laughingadvcl
11vousvousXForeign=Yes10 saysobj
12totoADP_14 dogcase
13hishisPRONCase=Gen Gender=Masc Number=Sing Person=3 Poss=Yes PronType=Prs14 dognmod:poss
14dogdogNOUNNumber=Sing10 saysobl
15..PUNCT_5 fallspunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1fallpresentEmma's cousinnearly propertyvn occur-48.3 «NP V»: agent=Theme
2laughgerundEmma's cousin not said herevn nonverbal_expression-40.2 «NP V»: agent=Agent
3say speech: assertpresentcousinvousEmma's dogvn say-37.7-1-1 «NP V NP PP.recipient»: agent=Agent vous=Topic to dog=Recipient

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.

Sentence 2: Why?

punctrootWhyADV?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhywhyADVPronType=Introotroot
2??PUNCT_1 Whypunct

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

The options

Option 1 · ← Mova's choice · ✓ the right answer

Vous to a puppy is like bowing to it; pets get tu

nsubjcasedetnmodauxmarkcaseoblpunctnsubjconjobjrootVousPROPNtoADPaDETpuppyNOUNisAUXlikeSCONJbowingVERBtoADPitPRON;PUNCTpetsNOUNgetVERBtuX
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1VousVousPROPNNumber=Sing7 bowingnsubj
2totoADP_4 puppycase
3aaDETDefinite=Ind PronType=Art4 puppydet
4puppypuppyNOUNNumber=Sing1 Vousnmod
5isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin7 bowingaux
6likelikeSCONJ_7 bowingmark
7bowingbowVERBTense=Pres VerbForm=Partrootroot
8totoADP_9 itcase
9ititPRONCase=Acc Gender=Neut Number=Sing Person=3 PronType=Prs7 bowingobl
10;;PUNCT_12 getpunct
11petspetNOUNNumber=Plur12 getnsubj
12getgetVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin7 bowingconj
13tutuXForeign=Yes12 getobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1bowpresent · progressiveVous to a puppypuppyvn acquiesce-95.1-1 «NP V PP.theme»: agent=Agent to it=Theme
2getpresentpetstuvn comprehend-87.2-1 «NP V NP»: agent=Experiencer tu=Stimulus

Option 2

Dogs in Montreal only understand English

nsubjcasenmodadvmodobjrootDogsNOUNinADPMontrealPROPNonlyADVunderstandVERBEnglishPROPN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1DogsdogNOUNNumber=Plur5 understandnsubj
2ininADP_3 Montrealcase
3MontrealMontrealPROPNNumber=Sing1 Dogsnmod
4onlyonlyADV_5 understandadvmod
5understandunderstandVERBMood=Imp VerbForm=Finrootroot
6EnglishEnglishPROPNNumber=Sing5 understandobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1understandinfinitiveDogs in MontrealEnglishvn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer english=Stimulus

Option 3

She should have said madame to the dog

nsubjauxauxobjcasedetoblrootShePRONshouldAUXhaveAUXsaidVERBmadameNOUNtoADPtheDETdogNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SheshePRONCase=Nom Gender=Fem Number=Sing Person=3 PronType=Prs4 saidnsubj
2shouldshouldAUXVerbForm=Fin4 saidaux
3havehaveAUXVerbForm=Inf4 saidaux
4saidsayVERBTense=Past VerbForm=Partrootroot
5madamemadameNOUNNumber=Sing4 saidobj
6totoADP_8 dogcase
7thetheDETDefinite=Def PronType=Art8 dogdet
8dogdogNOUNNumber=Sing4 saidobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1say speech: assertshould · perfectShemadamethe dogvn say-37.7-1-1 «NP V NP PP.recipient»: agent=Agent madame=Topic to dog=Recipient

Option 4

Vous is a rude word that you must never say to dogs in Quebec

nsubjcopdetamodobjnsubjauxadvmodacl:relclcaseoblcaseoblrootVousPROPNisAUXaDETrudeADJwordNOUNthatPRONyouPRONmustAUXneverADVsayVERBtoADPdogsNOUNinADPQuebecPROPN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1VousVousPROPNNumber=Sing5 wordnsubj
2isbeAUXMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin5 wordcop
3aaDETDefinite=Ind PronType=Art5 worddet
4ruderudeADJDegree=Pos5 wordamod
5wordwordNOUNNumber=Singrootroot
6thatthatPRONPronType=Rel10 sayobj
7youyouPRONCase=Nom Person=2 PronType=Prs10 saynsubj
8mustmustAUXVerbForm=Fin10 sayaux
9neverneverADVPronType=Neg10 sayadvmod
10saysayVERBVerbForm=Inf5 wordacl:relcl
11totoADP_12 dogscase
12dogsdogNOUNNumber=Plur10 sayobl
13ininADP_14 Quebeccase
14QuebecQuebecPROPNNumber=Sing10 sayobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1is apresentVousa rude wordtree rules
2not say speech: assertmustyoua rude worddogsQuebecvn say-37.7-1-1 «NP V NP PP.recipient»: agent=Agent that=Topic to dog=Recipient

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/french/5-tu-or-vous-manners-in-french/t2/