--- title: In nature there are always far more prey than predators, because eac… — Zootopia: real sloths, shrews, predators and prey · tree and pragmatics description: In nature there are always far more prey than predators, because each predator needs to eat many prey animals: the Serengeti has millions of wildebeest but only a few thousand lions. Who acts: more prey, predator, Serengeti. A sentence of the lesson «Zootopia: real sloths, shrews, predators and prey --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/142-zootopia-real-sloths-shrews-predators-and-prey/13/) [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/) / [Zootopia: real sloths, shrews, predato…](https://md.mova.elamur.ai/free/en/corpora/school/biology/142-zootopia-real-sloths-shrews-predators-and-prey/) / 13 # Zootopia: real sloths, shrews, predators and prey, sentence 13 In nature there are always far more prey than predators, because each predator needs to eat many prey animals: the Serengeti has millions of wildebeest but only a few thousand lions. **Who acts:** more prey, predator, Serengeti · **What happens:** be, need, eat, have · **To what, where:** nature, many prey animals, millions This is a sentence of the lesson «Zootopia: real sloths, shrews, predators and prey» 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 (more prey, predator, Serengeti), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:142-zootopia-real-sloths-shrews-predators-and-prey.lesson:13 # text = In nature there are always far more prey than predators, because each predator needs to eat many prey animals: the Serengeti has millions of wildebeest but only a few thousand lions. # source = school lesson (ours) # course = biology # lesson = 142-zootopia-real-sloths-shrews-predators-and-prey.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, R8-pos-agree ×1 1 In in ADP IN _ 2 case _ _ 2 nature nature NOUN NN Number=Sing 4 obl _ _ 3 there there PRON EX PronType=Dem 4 expl _ _ 4 are be VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 0 root _ _ 5 always always ADV RB PronType=Tot 4 advmod _ Agree=R5-strong|Haiku=7:advmod 6 far far ADV RB Degree=Pos 7 advmod _ _ 7 more more ADJ JJR Degree=Cmp 8 amod _ _ 8 prey prey NOUN NN Number=Sing 4 nsubj _ _ 9 than than ADP IN _ 10 case _ _ 10 predators predator NOUN NNS Number=Plur 8 nmod _ _ 11 , , PUNCT , _ 15 punct _ _ 12 because because SCONJ IN _ 15 mark _ _ 13 each each DET DT PronType=Tot 14 det _ _ 14 predator predator NOUN NN Number=Sing 15 nsubj _ _ 15 needs need VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 4 advcl _ _ 16 to to PART TO _ 17 mark _ _ 17 eat eat VERB VB VerbForm=Inf 15 xcomp _ _ 18 many many ADJ JJ Degree=Pos 20 amod _ _ 19 prey prey NOUN NN Number=Sing 20 compound _ _ 20 animals animal NOUN NNS Number=Plur 17 obj _ _ 21 : : PUNCT : _ 24 punct _ _ 22 the the DET DT Definite=Def|PronType=Art 23 det _ _ 23 Serengeti Serengeti PROPN NNP Number=Sing 24 nsubj _ _ 24 has have VERB VBZ Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin 15 conj _ _ 25 millions million NOUN NNS Number=Plur 24 obj _ _ 26 of of ADP IN _ 27 case _ _ 27 wildebeest wildebeest NOUN NNS Number=Plur 25 nmod _ Agree=R8-pos-agree|Haiku=25:nmod|HaikuPos=NOUN:NN:Number=Sing 28 but but CCONJ CC _ 33 cc _ _ 29 only only ADV RB _ 33 advmod _ _ 30 a a DET DT Definite=Ind|PronType=Art 33 det _ _ 31 few few ADJ JJ Degree=Pos 33 amod _ _ 32 thousand thousand NUM CD NumForm=Word|NumType=Card 33 nummod _ _ 33 lions lion NOUN NNS Number=Plur 25 conj _ Agree=R5-strong|Haiku=24:conj 34 . . PUNCT . _ 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 | **be** | present | more prey than predators | | | nature; there | | always *property* | vn exist-47.1 «NP V PP.location»: agent=Theme in nature=Location | | 2 | **need** | present | each predator | | | | | | vn want-32.1-1-1 «NP V NP S\_INF»: agent=Pivot clause=Theme | | 3 | **eat** *not said to happen* | to-infinitive | each predator *not said here* | many prey animals | | | | | vn eat-39.1-1 «NP V NP»: agent=Agent animal=Patient | | 4 | **have** | present | the Serengeti | millions of wildebeest but a few thousand lions | | | | | vn birth-28.2-1 «NP V NP»: agent=Agent million=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. **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:142-zootopia-real-sloths-shrews-predators-and-prey.lesson:13`. **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, 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: [Zootopia: real sloths, shrews, predato…, 12](https://md.mova.elamur.ai/free/en/corpora/school/biology/142-zootopia-real-sloths-shrews-predators-and-prey/12/) - next →: [Zootopia: real sloths, shrews, predato…, 14](https://md.mova.elamur.ai/free/en/corpora/school/biology/142-zootopia-real-sloths-shrews-predators-and-prey/14/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/142-zootopia-real-sloths-shrews-predators-and-prey/)