--- title: Some film-makers built animal-shaped robots with cameras, such as a… — How nature documentaries are made: hides, camera… · tree and pragmatics description: Some film-makers built animal-shaped robots with cameras, such as a robot penguin, because animals often ignore a robot that looks and moves a bit like them. Who acts: film makers, animals, robot. A sentence of the lesson «How nature documentaries are made: hides, camera traps, drones and years of w --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/17/) [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/) / [Biology](https://md.mova.elamur.ai/free/en/corpora/school/biology/) / [How nature documentaries are made: hid…](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/) / 17 # How nature documentaries are made: hides, camera traps, drones and years of waiting, sentence 17 Some film-makers built animal-shaped robots with cameras, such as a robot penguin, because animals often ignore a robot that looks and moves a bit like them. **Who acts:** film makers, animals, robot · **What happens:** build, shape, ignore, look, move · **To what, where:** animal shaped robots, robot, bit This is a sentence of the lesson «How nature documentaries are made: hides, camera traps, drones and years of waiting» of the biology 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 (film makers, animals, robot), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson:17 # text = Some film-makers built animal-shaped robots with cameras, such as a robot penguin, because animals often ignore a robot that looks and moves a bit like them. # source = school lesson (ours) # course = biology # lesson = 394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.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): R5-strong ×2, R6-punct-agree ×1, R7-rel-agree ×1, R8-pos-agree ×1 1 Some some DET DT PronType=Ind 4 det _ _ 2 film film NOUN NN Number=Sing 4 compound _ _ 3 - - PUNCT HYPH _ 2 punct _ _ 4 makers maker NOUN NNS Number=Plur 5 nsubj _ Agree=R5-strong|Haiku=0:root 5 built build VERB VBD Mood=Ind|Tense=Past|VerbForm=Fin 0 root _ Agree=R5-strong|Haiku=4:acl 6 animal animal NOUN NN Number=Sing 9 compound _ _ 7 - - PUNCT HYPH _ 6 punct _ _ 8 shaped shape VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 9 amod _ Agree=R8-pos-agree|Haiku=9:amod|HaikuPos=ADJ:JJ:Degree=Pos 9 robots robot NOUN NNS Number=Plur 5 obj _ _ 10 with with ADP IN _ 11 case _ _ 11 cameras camera NOUN NNS Number=Plur 9 nmod _ _ 12 , , PUNCT , _ 17 punct _ _ 13 such such ADJ JJ Degree=Pos|ExtPos=ADP 17 case _ _ 14 as as ADP IN _ 13 fixed _ _ 15 a a DET DT Definite=Ind|PronType=Art 17 det _ _ 16 robot robot NOUN NN Number=Sing 17 compound _ _ 17 penguin penguin NOUN NN Number=Sing 9 conj _ _ 18 , , PUNCT , _ 22 punct _ _ 19 because because SCONJ IN _ 22 mark _ _ 20 animals animal NOUN NNS Number=Plur 22 nsubj _ _ 21 often often ADV RB _ 22 advmod _ _ 22 ignore ignore VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 5 advcl _ _ 23 a a DET DT Definite=Ind|PronType=Art 24 det _ _ 24 robot robot NOUN NN Number=Sing 22 obj _ _ 25 that that PRON WDT PronType=Rel 26 nsubj _ _ 26 looks look VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 24 acl:relcl _ _ 27 and and CCONJ CC _ 28 cc _ _ 28 moves move VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 26 conj _ _ 29 a a DET DT Definite=Ind|PronType=Art 30 det _ _ 30 bit bit NOUN NN Number=Sing 28 obl _ Agree=R7-rel-agree|Haiku=28:obj 31 like like ADP IN _ 32 case _ _ 32 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 28 obl _ _ 33 . . PUNCT . _ 5 punct _ Agree=R6-punct-agree|Haiku=4:punct ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **build** | past | some film makers | animal shaped robots and a robot penguin | | | | with cameras | vn base-97.1 «NP V NP PP.source»: agent=Agent robot=Theme with camera=Source | | 2 | **shape** | participle | | | | | | | vn build-26.1-1 «NP.asset V NP»: agent=Asset | | 3 | **ignore** | present | animals | a robot | | | | often *property* | vn neglect-75.1 «NP V NP»: agent=Agent robot=Theme | | 4 | **look** | present | a robot | | | | | | vn stimulus\_subject-30.4 «NP V PP.attribute»: agent=Stimulus | | 5 | **move** | present | a robot *not said here* | a bit | | | | like animals *= animal* | vn roll-51.3.1 «NP.theme 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. **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:biology:394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting.lesson:17`. **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): R5-strong ×2, R6-punct-agree ×1, R7-rel-agree ×1, R8-pos-agree ×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 nature documentaries are made: hid…, 16](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/16/) - next →: [How nature documentaries are made: hid…, 18](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/18/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/)