--- title: The checking camera looks at 1,000 biscuits a minute. How many does… — How a factory works: belts, robots, ch… · tree and pragmatics description: The checking camera looks at 1,000 biscuits a minute. How many does it check in 3 minutes? Test 8 of lesson 1 «How a factory works: belts, robots, checks and people» of the technology course of Mova's primary school, with the dependency tree and pragmatics of the question and of each option; Mova's --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/questions/technology/1-how-a-factory-works/t8/) [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/) / [How a factory works: belts, robots, ch…](https://md.mova.elamur.ai/free/en/corpora/questions/technology/1-how-a-factory-works/) / t8 # Test 8 · How a factory works: belts, robots, checks and people The checking camera looks at 1,000 biscuits a minute. How many does it check in 3 minutes? **Mova's choice:** option 1 · **The right answer:** option 3 · wrong ✗ · **Who acts:** checking camera, camera · **What happens:** check, look · **To what, where:** many This is test 8 of lesson 1 «How a factory works: belts, robots, checks and people» 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/1-how-a-factory-works/#t8). ## The question {#question} *Sentence 1:* The checking camera looks at 1,000 biscuits a minute. ```conllu # sent_id = question:technology:1-how-a-factory-works:t8:1 # text = The checking camera looks at 1,000 biscuits a minute. 1 The the DET DT Definite=Def|PronType=Art 3 det _ _ 2 checking check VERB VBG VerbForm=Ger 3 amod _ _ 3 camera camera NOUN NN Number=Sing 4 nsubj _ _ 4 looks look VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 at at ADP IN _ 7 case _ _ 6 1,000 1000 NUM CD NumForm=Digit|NumType=Card 7 nummod _ _ 7 biscuits biscuit NOUN NNS Number=Plur 4 obl _ _ 8 a a DET DT Definite=Ind|PronType=Art 9 det _ _ 9 minute minute NOUN NN Number=Sing 7 nmod:unmarked _ SpaceAfter=No 10 . . PUNCT . _ 4 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **check** | gerund | | | | | | | vn assessment-34.1 «NP V NP»: agent=Agent | | 2 | **look** | present | the checking camera | | | | | at 1,000 biscuits a minute | vn peer-30.3 «NP V PP.theme»: agent=Agent at biscuit=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:* How many does it check in 3 minutes? ```conllu # sent_id = question:technology:1-how-a-factory-works:t8:2 # text = How many does it check in 3 minutes? 1 How how ADV WRB PronType=Int 2 advmod _ _ 2 many many ADJ JJ Degree=Pos 5 obj _ _ 3 does do AUX VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 5 aux _ _ 4 it it PRON PRP Case=Nom|Gender=Neut|Number=Sing|Person=3|PronType=Prs 5 nsubj _ _ 5 check check VERB VB VerbForm=Inf 0 root _ _ 6 in in ADP IN _ 8 case _ _ 7 3 3 NUM CD NumForm=Digit|NumType=Card 8 nummod _ _ 8 minutes minute NOUN NNS Number=Plur 5 obl _ SpaceAfter=No 9 ? ? PUNCT . _ 5 punct _ _ ``` | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **check** | present · do-support | camera | many | | | minute | | vn assessment-34.1 «NP V NP»: agent=Agent many=Theme | ## The options {#options} ### Option 1 · ← Mova's choice {#o1} 30,000 ```conllu # sent_id = question:technology:1-how-a-factory-works:t8:o1:1 # text = 30,000 1 30,000 30,000 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 2 {#o2} 1,003 ```conllu # sent_id = question:technology:1-how-a-factory-works:t8:o2:1 # text = 1,003 1 1,003 1,003 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 3 · ✓ the right answer {#o3} 3,000 ```conllu # sent_id = question:technology:1-how-a-factory-works:t8:o3:1 # text = 3,000 1 3,000 3000 NUM CD NumForm=Digit|NumType=Card 0 root _ _ ``` The frames reader finds no event or fact in this sentence. ### Option 4 {#o4} 300 ```conllu # sent_id = question:technology:1-how-a-factory-works:t8:o4:1 # text = 300 1 300 300 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: [How a factory works: belts, robots, ch…, test 7](https://md.mova.elamur.ai/free/en/corpora/questions/technology/1-how-a-factory-works/t7/) - next →: [How a factory works: belts, robots, ch…, test 9](https://md.mova.elamur.ai/free/en/corpora/questions/technology/1-how-a-factory-works/t9/) - ↑ back to [How a factory works: belts, robots, checks and people](https://md.mova.elamur.ai/free/en/corpora/questions/technology/1-how-a-factory-works/)