--- title: Count them: a pavement robot has 6 wheels. How many wheels do 4 robo… — Robots at work and at home · tree and pragmatics description: Count them: a pavement robot has 6 wheels. How many wheels do 4 robots have? Test 7 · ★ of lesson 39 «Robots at work and at home» of the technology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's choice was wrong. --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/technology/39-robots-at-work-and-at-home/t7/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [questions](https://md.mova.elamur.ai/free/en/corpora/questions/) / [Technology](https://md.mova.elamur.ai/free/en/corpora/questions/technology/) / [Robots at work and at home](https://md.mova.elamur.ai/free/en/corpora/questions/technology/39-robots-at-work-and-at-home/) / t7 # 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](https://md.mova.elamur.ai/free/en/school-run/technology/39-robots-at-work-and-at-home/#t7). ## The question {#question} *Sentence 1:* Count them: a pavement robot has 6 wheels. ```conllu # sent_id = question:technology:39-robots-at-work-and-at-home:t7:1 # text = Count them: a pavement robot has 6 wheels. 1 Count count VERB VB Mood=Imp|VerbForm=Fin 0 root _ _ 2 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 1 obj _ SpaceAfter=No 3 : : PUNCT : _ 7 punct _ _ 4 a a DET DT Definite=Ind|PronType=Art 6 det _ _ 5 pavement pavement NOUN NN Number=Sing 6 compound _ _ 6 robot robot NOUN NN Number=Sing 7 nsubj _ _ 7 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 1 parataxis _ _ 8 6 6 NUM CD NumForm=Digit|NumType=Card 9 nummod _ _ 9 wheels wheel NOUN NNS Number=Plur 7 obj _ SpaceAfter=No 10 . . PUNCT . _ 1 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **count** | imperative | you *not said here* | them *= they* | | | | | vn multiply-108 «NP V NP»: agent=Agent they=Theme | | 2 | **have** | present | a pavement robot | 6 wheels | | | | | vn 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? ```conllu # sent_id = question:technology:39-robots-at-work-and-at-home:t7:2 # text = How many wheels do 4 robots have? 1 How how ADV WRB PronType=Int 2 advmod _ _ 2 many many ADJ JJ Degree=Pos 3 amod _ _ 3 wheels wheel NOUN NNS Number=Plur 4 nsubj _ _ 4 do do VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 4 4 NUM CD NumForm=Digit|NumType=Card 6 nummod _ _ 6 robots robot NOUN NNS Number=Plur 7 nsubj _ _ 7 have have VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 4 ccomp _ SpaceAfter=No 8 ? ? PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **do** | present | many wheels | | | | | | tree rules | | 2 | **have** | present | 4 robots | | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} 10 ```conllu # sent_id = question:technology:39-robots-at-work-and-at-home:t7:o1:1 # text = 10 1 10 10 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} 18 ```conllu # sent_id = question:technology:39-robots-at-work-and-at-home:t7:o2:1 # text = 18 1 18 18 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 {#o3} 12 ```conllu # sent_id = question:technology:39-robots-at-work-and-at-home:t7:o3:1 # text = 12 1 12 12 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 · ✓ the right answer {#o4} 24 ```conllu # sent_id = question:technology:39-robots-at-work-and-at-home:t7:o4:1 # text = 24 1 24 24 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` 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. - ← previous: [Robots at work and at home, test 6](https://md.mova.elamur.ai/free/en/corpora/questions/technology/39-robots-at-work-and-at-home/t6/) - next →: [Robots at work and at home, test 8](https://md.mova.elamur.ai/free/en/corpora/questions/technology/39-robots-at-work-and-at-home/t8/) - ↑ back to [Robots at work and at home](https://md.mova.elamur.ai/free/en/corpora/questions/technology/39-robots-at-work-and-at-home/)