--- title: Picture a video call with four penpals: one in Brussels says septant… — France and the French-speaking world · tree and pragmatics description: Picture a video call with four penpals: one in Brussels says septante for 70, one in Montreal says "Mets ta tuque !" for "Put your woolly hat on!", one in Dakar mixes French and Wolof, and one in Paris says it all the way your textbook does. Who acts: you, one, 70 one, textbook. A sentence of the le --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/french/34-france-and-the-french-speaking-world/2/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [French](https://md.mova.elamur.ai/free/en/corpora/school/french/) / [France and the French-speaking world](https://md.mova.elamur.ai/free/en/corpora/school/french/34-france-and-the-french-speaking-world/) / 2 # France and the French-speaking world, sentence 2 Picture a video call with four penpals: one in Brussels says septante for 70, one in Montreal says "Mets ta tuque !" for "Put your woolly hat on!", one in Dakar mixes French and Wolof, and one in Paris says it all the way your textbook does. **Who acts:** you, one, 70 one, textbook · **What happens:** picture, say, put on, mix, do · **To what, where:** video call, Mets, woolly hat, French, hat, way · **Speech:** someone speaks here This is a sentence of the lesson «France and the French-speaking world» of the french course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (you, one, 70 one, textbook), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:french:034-france-and-the-french-speaking-world.lesson:2 # text = Picture a video call with four penpals: one in Brussels says septante for 70, one in Montreal says "Mets ta tuque !" for "Put your woolly hat on!", one in Dakar mixes French and Wolof, and one in Paris says it all the way your textbook does. # source = school lesson (ours) # course = french # lesson = 034-france-and-the-french-speaking-world.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×3, R8-pos-agree ×5 1 Picture picture VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 a a DET DT Definite=Ind|PronType=Art 4 det _ _ 3 video video NOUN NN Number=Sing 4 compound _ _ 4 call call NOUN NN Number=Sing 1 obj _ _ 5 with with ADP IN _ 7 case _ _ 6 four four NUM CD NumForm=Word|NumType=Card 7 nummod _ _ 7 penpals penpal NOUN NNS Number=Plur 4 nmod _ Agree=R5-strong|Haiku=1:obl 8 : : PUNCT : _ 12 punct _ _ 9 one one NUM CD NumForm=Word|NumType=Card 12 nsubj _ _ 10 in in ADP IN _ 11 case _ _ 11 Brussels Brussels PROPN NNP Number=Sing 9 nmod _ _ 12 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 parataxis _ _ 13 septante septante X FW Foreign=Yes 12 dep _ _ 14 for for ADP IN _ 15 case _ _ 15 70 70 NUM CD NumForm=Digit|NumType=Card 17 nummod _ _ 16 , , PUNCT , _ 15 punct _ _ 17 one one NUM CD NumForm=Word|NumType=Card 20 nsubj _ Agree=R8-pos-agree|Haiku=20:nsubj|HaikuPos=NOUN:NN:Number=Sing 18 in in ADP IN _ 19 case _ _ 19 Montreal Montreal PROPN NNP Number=Sing 17 nmod _ Agree=R8-pos-agree|Haiku=17:nmod|HaikuPos=NOUN:NN:Number=Sing 20 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 conj _ _ 21 " " PUNCT `` _ 22 punct _ Agree=R8-pos-agree|Haiku=22:punct|HaikuPos=PUNCT:":_ 22 Mets met X FW Foreign=Yes 20 obj _ _ 23 ta of X FW Foreign=Yes 24 flat:foreign _ _ 24 tuque tuque X FW Foreign=Yes 22 flat:foreign _ _ 25 ! ! PUNCT . _ 22 punct _ _ 26 " " PUNCT '' _ 22 punct _ _ 27 for for ADP IN _ 29 mark _ Agree=R8-pos-agree|Haiku=29:mark|HaikuPos=SCONJ:IN:_ 28 " " PUNCT `` _ 29 punct _ _ 29 Put put VERB VB Mood=Imp|VerbForm=Fin 1 conj _ _ 30 your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 32 nmod:poss _ _ 31 woolly woolly ADJ JJ Degree=Pos 32 amod _ _ 32 hat hat NOUN NN Number=Sing 29 obj _ _ 33 on on ADP RP _ 29 compound:prt _ _ 34 ! ! PUNCT . _ 29 punct _ Agree=R6-punct-agree|Haiku=1:punct 35 " " PUNCT '' _ 29 punct _ Agree=R6-punct-agree|Haiku=1:punct 36 , , PUNCT , _ 40 punct _ Agree=R6-punct-agree|Haiku=37:punct 37 one one NUM CD NumForm=Word|NumType=Card 40 nsubj _ _ 38 in in ADP IN _ 40 case _ _ 39 Dakar dakar PROPN NNP Number=Sing 37 nmod _ _ 40 mixes mix VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 conj _ _ 41 French French PROPN NNP Number=Sing 40 obj _ _ 42 and and CCONJ CC _ 43 cc _ _ 43 Wolof Wolof PROPN NNP Number=Sing 41 conj _ Agree=R8-pos-agree|Haiku=41:conj|HaikuPos=NOUN:NN:Number=Sing 44 , , PUNCT , _ 49 punct _ _ 45 and and CCONJ CC _ 49 cc _ _ 46 one one NUM CD NumForm=Word|NumType=Card 49 nsubj _ _ 47 in in ADP IN _ 48 case _ _ 48 Paris Paris PROPN NNP Number=Sing 46 nmod _ _ 49 says say VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 conj _ _ 50 it it PRON PRP Case=Acc|Gender=Neut|Number=Sing|Person=3|PronType=Prs 49 obj _ _ 51 all all DET PDT PronType=Tot 53 det:predet _ _ 52 the the DET DT Definite=Def|PronType=Art 53 det _ _ 53 way way NOUN NN Number=Sing 49 obl:unmarked _ _ 54 your your PRON PRP$ Case=Gen|Person=2|Poss=Yes|PronType=Prs 55 nmod:poss _ _ 55 textbook textbook NOUN NN Number=Sing 56 nsubj _ _ 56 does do VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 53 acl:relcl _ _ 57 . . PUNCT . _ 1 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **picture** | imperative | you *not said here* | a video call | | | | with four penpals | vn characterize-29.2 «NP V NP S\_ING»: agent=Agent call=Theme | | 2 | **say** *speech: assert* | present | one in Brussels | | | | | | vn say-37.7-1-1 «NP V that S»: agent=Agent | | 3 | **say** *speech: express* | present | 70 one in Montreal | Mets | | | | | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent met=Topic | | 4 | **put on** *in a quote* | infinitive | you *not said here* | your woolly hat | | | | | vn invest-13.5.4-1 «NP V PP»: agent=Agent hat=Goal | | 5 | **mix** | present | one Dakar | French and Wolof | | | | | vn mix-22.1-1-1 «NP V NP»: agent=Agent french=Patient | | 6 | **say** *speech: assert* | present | one in Paris | hat | | | | all way *obl:unmarked* | vn say-37.7-1-1 «NP V NP.topic»: agent=Agent it=Topic | | 7 | **do** | present | your textbook | all way *not said here* | | | | | vn act-114-1 «NP V NP»: agent=Agent way=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. **Licence: [CC BY-SA 4.0](https://creativecommons.org/licenses/by-sa/4.0/)**, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, `mova-school-agreed-en.conllu`) is part. The lessons were written for Mova's primary school. Sentence `school:french:034-france-and-the-french-speaking-world.lesson:2`. **The tree:** Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R5-strong ×1, R6-punct-agree ×3, R8-pos-agree ×5. **The frames** are read from the tree by Mova's frames reader (`prag`) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence. See the [release 0.4](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [France and the French-speaking world, 1](https://md.mova.elamur.ai/free/en/corpora/school/french/34-france-and-the-french-speaking-world/1/) - next →: [France and the French-speaking world, 3](https://md.mova.elamur.ai/free/en/corpora/school/french/34-france-and-the-french-speaking-world/3/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/french/34-france-and-the-french-speaking-world/)