--- title: Many giant salamanders were caught for food and farms bred millions;… — China's mountains: golden snub-nosed monkeys, ta… · tree and pragmatics description: Many giant salamanders were caught for food and farms bred millions; DNA tests found there are really several kinds, and farm animals released into rivers mixed them up, so scientists try to save each kind in its own river. Who acts: farms, DNA tests, several kinds, farm animals. A sentence of the l --- [Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/corpora/school/biology/378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders/20/) [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/) / [China's mountains: golden snub-nosed m…](https://md.mova.elamur.ai/free/en/corpora/school/biology/378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders/) / 20 # China's mountains: golden snub-nosed monkeys, takins, red-crowned cranes and giant salamanders, sentence 20 Many giant salamanders were caught for food and farms bred millions; DNA tests found there are really several kinds, and farm animals released into rivers mixed them up, so scientists try to save each kind in its own river. **Who acts:** farms, DNA tests, several kinds, farm animals, scientists · **What happens:** catch, breed, find, be, release, mix up · **To what, where:** Many giant salamanders, millions, farm animals, rivers, kinds, kind · **Speech:** someone speaks here This is a sentence of the lesson «China's mountains: golden snub-nosed monkeys, takins, red-crowned cranes and giant salamanders» 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 (farms, DNA tests, several kinds, farm animals), what happens, when and where, as Mova's frames read it from the tree. ## The tree {#tree} ```conllu # sent_id = school:biology:378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders.lesson:20 # text = Many giant salamanders were caught for food and farms bred millions; DNA tests found there are really several kinds, and farm animals released into rivers mixed them up, so scientists try to save each kind in its own river. # source = school lesson (ours) # course = biology # lesson = 378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders.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 ×1, R7-rel-agree ×1 1 Many many ADJ JJ Degree=Pos 3 amod _ _ 2 giant giant ADJ JJ Degree=Pos 3 amod _ _ 3 salamanders salamander NOUN NNS Number=Plur 5 nsubj:pass _ _ 4 were be AUX VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 5 aux:pass _ _ 5 caught catch VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 0 root _ _ 6 for for ADP IN _ 7 case _ _ 7 food food NOUN NN Number=Sing 5 obl _ Agree=R7-rel-agree|Haiku=5:obj 8 and and CCONJ CC _ 10 cc _ _ 9 farms farm NOUN NNS Number=Plur 10 nsubj _ _ 10 bred breed VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 5 conj _ _ 11 millions million NOUN NNS Number=Plur 10 obj _ _ 12 ; ; PUNCT : _ 15 punct _ _ 13 DNA DNA NOUN NN Number=Sing 14 compound _ _ 14 tests test NOUN NNS Number=Plur 15 nsubj _ _ 15 found find VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 5 parataxis _ _ 16 there there PRON EX PronType=Dem 17 expl _ _ 17 are be VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 15 ccomp _ _ 18 really really ADV RB _ 19 advmod _ _ 19 several several ADJ JJ Degree=Pos 20 amod _ _ 20 kinds kind NOUN NNS Number=Plur 17 nsubj _ _ 21 , , PUNCT , _ 28 punct _ _ 22 and and CCONJ CC _ 28 cc _ _ 23 farm farm NOUN NN Number=Sing 24 compound _ _ 24 animals animal NOUN NNS Number=Plur 28 nsubj _ _ 25 released release VERB VBN Tense=Past|VerbForm=Part|Voice=Pass 24 acl _ _ 26 into into ADP IN _ 27 case _ _ 27 rivers river NOUN NNS Number=Plur 25 obl _ _ 28 mixed mix VERB VBD Mood=Ind|Number=Plur|Person=3|Tense=Past|VerbForm=Fin 15 conj _ Agree=R5-strong|Haiku=17:conj 29 them they PRON PRP Case=Acc|Number=Plur|Person=3|PronType=Prs 28 obj _ _ 30 up up ADP RP _ 28 compound:prt _ _ 31 , , PUNCT , _ 34 punct _ _ 32 so so ADV RB _ 34 advmod _ _ 33 scientists scientist NOUN NNS Number=Plur 34 nsubj _ _ 34 try try VERB VBP Mood=Ind|Number=Plur|Person=3|Tense=Pres|VerbForm=Fin 17 conj _ _ 35 to to PART TO _ 36 mark _ _ 36 save save VERB VB VerbForm=Inf 34 xcomp _ _ 37 each each DET DT PronType=Tot 38 det _ _ 38 kind kind NOUN NN Number=Sing 36 obj _ _ 39 in in ADP IN _ 42 case _ _ 40 its its PRON PRP$ Case=Gen|Gender=Neut|Number=Sing|Person=3|Poss=Yes|PronType=Prs 42 nmod:poss _ _ 41 own own ADJ JJ Degree=Pos 42 amod _ _ 42 river river NOUN NN Number=Sing 36 obl _ _ 43 . . PUNCT . _ 5 punct _ _ ``` ## Pragmatics {#pragmatics} No stored speech act for this sentence. | # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | **catch** | past · passive | | Many giant salamanders | | | | for food | vn get-13.5.1 «NP V NP PP.beneficiary»: subject=Theme for food=Beneficiary | | 2 | **breed** | past | farms | millions | | | | | tree rules | | 3 | **find** | past | DNA tests | | | | | | vn declare-29.4-1-1 «NP V what S\_INF»: agent=Agent clause=Theme | | 4 | **does** | present | several kinds | | | there | | | vn exist-47.1 «NP V»: agent=Theme | | 5 | **release** | participle | | farm animals *not said here* | | rivers | | | vn free-10.6.3-1 «NP V NP S\_ING»: agent=Causer | | 6 | **mix up** | past | farm animals | kinds *= kind* | | | | | vn mix-22.1-1-1 «NP V NP»: agent=Agent they=Patient | | 7 | **try** | present | scientists | | | | | | vn try-61.1 «NP V S\_INF»: agent=Agent clause=Eventuality | | 8 | **save** *not said to happen* | to-infinitive | scientists *not said here* | each kind | | salamander's own river | | | vn get-13.5.1-1 «NP V NP»: agent=Agent kind=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:378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders.lesson:20`. **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 ×1, R7-rel-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: [China's mountains: golden snub-nosed m…, 19](https://md.mova.elamur.ai/free/en/corpora/school/biology/378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders/19/) - next →: [China's mountains: golden snub-nosed m…, 21](https://md.mova.elamur.ai/free/en/corpora/school/biology/378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders/21/) - ↑ back to [the lesson](https://md.mova.elamur.ai/free/en/corpora/school/biology/378-china-s-mountains-golden-snub-nosed-monkeys-takins-red-crowned-cranes-and-giant-salamanders/)