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Olympiad: decoding a short French text ★★★, sentence 0

In a language olympiad you often get a short real text - a postcard, a sign, a menu, a recipe - and must work out what it says without a dictionary, like a code-breaker.

Who acts: you, text · What happens: get, work out, say · To what, where: short real text, language olympiad · Speech: someone speaks here

This is a sentence of the lesson «Olympiad: decoding a short French text ★★★» 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, text), what happens, when and where, as Mova's frames read it from the tree.

The tree

casedetcompoundoblnsubjadvmoddetamodamodobjpunctdetappospunctdetconjpunctdetconjpunctdetconjpunctccauxconjcompound:prtobjnsubjconjcasedetoblpunctcasedetcompoundpunctoblpunctrootInADPaDETlanguageNOUNolympiadNOUNyouPRONoftenADVgetVERBaDETshortADJrealADJtextNOUN-PUNCTaDETpostcardNOUN,PUNCTaDETsignNOUN,PUNCTaDETmenuNOUN,PUNCTaDETrecipeNOUN-PUNCTandCCONJmustAUXworkVERBoutADPwhatPRONitPRONsaysVERBwithoutADPaDETdictionaryNOUN,PUNCTlikeADPaDETcodeNOUN-PUNCTbreakerNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1IninADP_4 olympiadcase
2aaDETDefinite=Ind PronType=Art4 olympiaddet
3languagelanguageNOUNNumber=Sing4 olympiadcompound
4olympiadolympiadNOUNNumber=Sing7 getobl
5youyouPRONCase=Nom Person=2 PronType=Prs7 getnsubj
6oftenoftenADV_7 getadvmod
7getgetVERBMood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Finrootroot
8aaDETDefinite=Ind PronType=Art11 textdet
9shortshortADJDegree=Pos11 textamod
10realrealADJDegree=Pos11 textamod
11texttextNOUNNumber=Sing7 getobj
12--PUNCT_14 postcardpunct
13aaDETDefinite=Ind PronType=Art14 postcarddet
14postcardpostcardNOUNNumber=Sing11 textappos
15,,PUNCT_17 signpunct
16aaDETDefinite=Ind PronType=Art17 signdet
17signsignNOUNNumber=Sing14 postcardconj
18,,PUNCT_20 menupunct
19aaDETDefinite=Ind PronType=Art20 menudet
20menumenuNOUNNumber=Sing14 postcardconj
21,,PUNCT_23 recipepunct
22aaDETDefinite=Ind PronType=Art23 recipedet
23reciperecipeNOUNNumber=Sing14 postcardconj
24--PUNCT_27 workpunct
25andandCCONJ_27 workcc
26mustmustAUXVerbForm=Fin27 workaux
27workworkVERBVerbForm=Inf7 getconj
28outoutADP_27 workcompound:prt
29whatwhatPRONPronType=Int31 saysobj
30ititPRONCase=Nom Gender=Neut Number=Sing Person=3 PronType=Prs31 saysnsubj
31sayssayVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin27 workconj
32withoutwithoutADP_34 dictionarycase
33aaDETDefinite=Ind PronType=Art34 dictionarydet
34dictionarydictionaryNOUNNumber=Sing31 saysobl
35,,PUNCT_40 breakerpunct
36likelikeADP_40 breakercase
37aaDETDefinite=Ind PronType=Art40 breakerdet
38codecodeNOUNNumber=Sing40 breakercompound
39--PUNCT_38 codepunct
40breakerbreakerNOUNNumber=Sing27 workobl
41..PUNCT_7 getpunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1getpresentyoua short real texta language olympiadoften propertyvn comprehend-87.2-1 «NP V NP»: agent=Experiencer text=Stimulus
2work outmustyou not said herelike a code breakervn discover-84 «NP V how S»: agent=Agent
3say speech: assertpresenttextwithout a dictionaryvn say-37.7-1-1 «NP V NP.topic»: agent=Agent what=Topic

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, 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:039-olympiad-decoding-a-short-french-text.lesson:0.

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 ×1. 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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/french/39-olympiad-decoding-a-short-french-text/0/