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Test 7 · ★ · Soft words for hard things: lying and honesty and drinking…

"He embroidered the story a bit — there were two dogs, not twenty." What did he do?

Mova's choice: option 4 · The right answer: option 4 · right ✓ · Who acts: He, two dogs · What happens: embroider, be, do · To what, where: story

This is test 7 · ★ of lesson 29 «Soft words for hard things: lying and honesty and drinking and drugs» of the euphemisms 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: "He embroidered the story a bit — there were two dogs, not twenty."

punctnsubjdetobjdetobl:unmarkedpunctexplconjnummodnsubjpunctadvmodconjpunctpunctroot"PUNCTHePRONembroideredVERBtheDETstoryNOUNaDETbitNOUN—PUNCTtherePRONwereVERBtwoNUMdogsNOUN,PUNCTnotPARTtwentyNUM.PUNCT"PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1""PUNCT_3 embroideredpunct
2HehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs3 embroiderednsubj
3embroideredembroiderVERBMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Finrootroot
4thetheDETDefinite=Def PronType=Art5 storydet
5storystoryNOUNNumber=Sing3 embroideredobj
6aaDETDefinite=Ind PronType=Art7 bitdet
7bitbitNOUNNumber=Sing3 embroideredobl:unmarked
8—-PUNCT_10 werepunct
9theretherePRONPronType=Dem10 wereexpl
10werebeVERBMood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin3 embroideredconj
11twotwoNUMNumForm=Word NumType=Card12 dogsnummod
12dogsdogNOUNNumber=Plur10 werensubj
13,,PUNCT_15 twentypunct
14notnotPARTPolarity=Neg15 twentyadvmod
15twentytwentyNUMNumForm=Word NumType=Card12 dogsconj
16..PUNCT_3 embroideredpunct
17""PUNCT_3 embroideredpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1embroider in a quotepastHethe storya bit obl:unmarkedvn build-26.1 «NP V NP»: agent=Agent story=Product
2be in a quotepasttwo dogstherevn exist-47.1 «NP V»: agent=Theme

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: What did he do?

objauxnsubjpunctrootWhatPRONdidAUXhePRONdoVERB?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1WhatwhatPRONPronType=Int4 doobj
2diddoAUXMood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin4 doaux
3hehePRONCase=Nom Gender=Masc Number=Sing Person=3 PronType=Prs4 donsubj
4dodoVERBVerbForm=Infrootroot
5??PUNCT_4 dopunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dopast · do-supporthevn act-114-1 «NP V NP»: agent=Agent what=Eventuality

The options

Option 1

Forgot to mention the dogs

markxcompdetobjrootForgotVERBtoPARTmentionVERBtheDETdogsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ForgotforgetVERBMood=Ind Number=Sing Person=1 Tense=Past VerbForm=Finrootroot
2totoPART_3 mentionmark
3mentionmentionVERBVerbForm=Inf1 Forgotxcomp
4thetheDETDefinite=Def PronType=Art5 dogsdet
5dogsdogNOUNNumber=Plur3 mentionobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1forgetpasttree rules
2not mention speech: otherto-infinitivethe dogsvn say-37.7-1-1 «NP V NP.topic»: agent=Agent dog=Topic

Option 2

Told the exact truth

detamodobjrootToldVERBtheDETexactADJtruthNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1ToldtellVERBMood=Ind Number=Sing Person=1 Tense=Past VerbForm=Finrootroot
2thetheDETDefinite=Def PronType=Art4 truthdet
3exactexactADJDegree=Pos4 truthamod
4truthtruthNOUNNumber=Sing1 Toldobj
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1tell speech: assertpastthe exact truthvn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent truth=Recipient

Option 3

Sewed a picture of dogs

detobjcasenmodrootSewedVERBaDETpictureNOUNofADPdogsNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SewedsewVERBMood=Ind Number=Sing Person=1 Tense=Past VerbForm=Finrootroot
2aaDETDefinite=Ind PronType=Art3 picturedet
3picturepictureNOUNNumber=Sing1 Sewedobj
4ofofADP_5 dogscase
5dogsdogNOUNNumber=Plur3 picturenmod
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1sewpasta picture of dogsvn build-26.1 «NP V NP»: agent=Agent picture=Product

Option 4 · ← Mova's choice · ✓ the right answer

Added invented details to the story

amodobjcasedetoblrootAddedVERBinventedVERBdetailsNOUNtoADPtheDETstoryNOUN
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1AddedaddVERBTense=Past VerbForm=Part Voice=Passrootroot
2inventedinventVERBTense=Past VerbForm=Part Voice=Pass3 detailsamod
3detailsdetailNOUNNumber=Plur1 Addedobj
4totoADP_6 storycase
5thetheDETDefinite=Def PronType=Art6 storydet
6storystoryNOUNNumber=Sing1 Addedobl
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1add speech: assertparticipleinvented detailsto the storyvn mix-22.1-2 «NP V NP PP.co-patient»: agent=Agent detail=Patient to story=Co-Patient
2inventparticiplevn create-26.4-1 «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/euphemisms/29-lying-and-drinking/t7/