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Test 7 · ★ · Robots at work and at home

Count them: a pavement robot has 6 wheels. How many wheels do 4 robots have?

Mova's choice: option 1 · The right answer: option 4 · wrong ✗ · Who acts: you, pavement robot, many wheels, 4 robots · What happens: count, have, do · To what, where: them, 6 wheels

This is test 7 · ★ of lesson 39 «Robots at work and at home» of the technology 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: Count them: a pavement robot has 6 wheels.

objpunctdetcompoundnsubjparataxisnummodobjpunctrootCountVERBthemPRON:PUNCTaDETpavementNOUNrobotNOUNhasVERB6NUMwheelsNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1CountcountVERBMood=Imp VerbForm=Finrootroot
2themtheyPRONCase=Acc Number=Plur Person=3 PronType=Prs1 Countobj
3::PUNCT_7 haspunct
4aaDETDefinite=Ind PronType=Art6 robotdet
5pavementpavementNOUNNumber=Sing6 robotcompound
6robotrobotNOUNNumber=Sing7 hasnsubj
7hashaveVERBMood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin1 Countparataxis
866NUMNumForm=Digit NumType=Card9 wheelsnummod
9wheelswheelNOUNNumber=Plur7 hasobj
10..PUNCT_1 Countpunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1countimperativeyou not said herethem = theyvn multiply-108 «NP V NP»: agent=Agent they=Theme
2havepresenta pavement robot6 wheelsvn birth-28.2-1 «NP V NP»: agent=Agent wheel=Patient

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: How many wheels do 4 robots have?

advmodamodnsubjnummodnsubjccomppunctrootHowADVmanyADJwheelsNOUNdoVERB4NUMrobotsNOUNhaveVERB?PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1HowhowADVPronType=Int2 manyadvmod
2manymanyADJDegree=Pos3 wheelsamod
3wheelswheelNOUNNumber=Plur4 donsubj
4dodoVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
544NUMNumForm=Digit NumType=Card6 robotsnummod
6robotsrobotNOUNNumber=Plur7 havensubj
7havehaveVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin4 doccomp
8??PUNCT_4 dopunct
#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1dopresentmany wheelstree rules
2havepresent4 robotsvn birth-28.2-1 «NP V NP»: agent=Agent

The options

Option 1 · ← Mova's choice

10

root10NUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
11010NUMNumForm=Digit NumType=Cardrootroot

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

Option 2

18

root18NUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
11818NUMNumForm=Digit NumType=Cardrootroot

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

Option 3

12

root12NUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
11212NUMNumForm=Digit NumType=Cardrootroot

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

Option 4 · ✓ the right answer

24

root24NUM
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
12424NUMNumForm=Digit NumType=Cardrootroot

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/technology/39-robots-at-work-and-at-home/t7/