--- title: Machines are strong and fast and cannot see you, so factories are fu… — How a factory works: belts, robots, checks and p… · tree and pragmatics description: Machines are strong and fast and cannot see you, so factories are full of fences, guards and big red stop buttons, and visitors keep to the marked walkways. Who acts: Machines, factories, visitors. A sentence of the lesson «How a factory works: belts, robots, checks and people» of the technology cou --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/technology/1-how-a-factory-works/4/) [home](https://md.mova.elamur.ai/free/en/) / [corpora](https://md.mova.elamur.ai/free/en/corpora/) / [school](https://md.mova.elamur.ai/free/en/corpora/school/) / [Technology](https://md.mova.elamur.ai/free/en/corpora/school/technology/) / [How a factory works: belts, robots, ch…](https://md.mova.elamur.ai/free/en/corpora/school/technology/1-how-a-factory-works/) / 4 # How a factory works: belts, robots, checks and people, sentence 4 Machines are strong and fast and cannot see you, so factories are full of fences, guards and big red stop buttons, and visitors keep to the marked walkways. **Who acts:** Machines, factories, visitors · **What happens:** be, not see, keep, mark · **To what, where:** you This is a sentence of the lesson «How a factory works: belts, robots, checks and people» of the technology 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 (Machines, factories, visitors), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:technology:001-how-a-factory-works.lesson:4 # text = Machines are strong and fast and cannot see you, so factories are full of fences, guards and big red stop buttons, and visitors keep to the marked walkways. # source = school lesson (ours) # course = technology # lesson = 001-how-a-factory-works.lesson # annotation = Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R3-conj-first ×1 1 Machines machine NOUN NNS Number=Plur 3 nsubj _ _ 2 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 3 cop _ _ 3 strong strong ADJ JJ Degree=Pos 0 root _ _ 4 and and CCONJ CC _ 5 cc _ _ 5 fast fast ADJ JJ Degree=Pos 3 conj _ _ 6 and and CCONJ CC _ 9 cc _ _ 7 can can AUX MD VerbForm=Fin 9 aux _ _ 8 not not PART RB Polarity=Neg 9 advmod _ _ 9 see see VERB VB VerbForm=Inf 3 conj _ Agree=R3-conj-first|Haiku=5:conj 10 you you PRON PRP Case=Acc|Person=2|PronType=Prs 9 obj _ _ 11 , , PUNCT , _ 15 punct _ _ 12 so so ADV RB _ 15 advmod _ _ 13 factories factory NOUN NNS Number=Plur 15 nsubj _ _ 14 are be AUX VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 15 cop _ _ 15 full full ADJ JJ Degree=Pos 3 parataxis _ _ 16 of of ADP IN _ 17 case _ _ 17 fences fence NOUN NNS Number=Plur 15 obl _ _ 18 , , PUNCT , _ 19 punct _ _ 19 guards guard NOUN NNS Number=Plur 17 conj _ _ 20 and and CCONJ CC _ 24 cc _ _ 21 big big ADJ JJ Degree=Pos 24 amod _ _ 22 red red ADJ JJ Degree=Pos 24 amod _ _ 23 stop stop NOUN NN Number=Sing 24 compound _ _ 24 buttons button NOUN NNS Number=Plur 17 conj _ _ 25 , , PUNCT , _ 28 punct _ _ 26 and and CCONJ CC _ 28 cc _ _ 27 visitors visitor NOUN NNS Number=Plur 28 nsubj _ _ 28 keep keep VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 15 conj _ _ 29 to to ADP IN _ 32 case _ _ 30 the the DET DT Definite=Def|PronType=Art 32 det _ _ 31 marked mark VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 32 amod _ _ 32 walkways walkway NOUN NNS Number=Plur 28 obl _ _ 33 . . PUNCT . _ 3 punct _ _ ``` ## Pragmatics {#pragmatics} - form: statement - act: assert - voice: narrator - polarity: none - teacher: kept the draft | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **is** | present | Machines | | | | | strong *property* | tree rules | | 2 | **be** | | Machines *not said here* | | | | | | tree rules | | 3 | **not** **see** | can | Machines *not said here* | you | | | | | vn comprehend-87.2-1-1 «NP V NP»: agent=Experiencer you=Stimulus | | 4 | **is** | present | factories | | | | | of fences and guards and big red stop buttons; full *property* | tree rules | | 5 | **keep** | present | visitors | | | | | to the marked walkways | vn keep-15.2 «NP V NP»: agent=Agent | | 6 | **mark** | participle | | | | | | | vn image\_impression-25.1 «NP V»: agent=Agent | 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](https://creativecommons.org/licenses/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:technology:001-how-a-factory-works.lesson:4`. **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): R3-conj-first ×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](https://md.mova.elamur.ai/free/en/releases/0.4/). - ← previous: [How a factory works: belts, robots, ch…, 3](https://md.mova.elamur.ai/free/en/corpora/school/technology/1-how-a-factory-works/3/) - next →: [How a factory works: belts, robots, ch…, 5](https://md.mova.elamur.ai/free/en/corpora/school/technology/1-how-a-factory-works/5/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/technology/1-how-a-factory-works/)