Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards, sentence 0
Cities are not only for people: wild boar dig up parks in Berlin, deer bow to tourists in Japan, coyotes cross roads in Chicago and leopards hunt at night inside Mumbai.
Who acts: wild boar, deer, coyotes, leopards · What happens: be, dig up, bow, cross, hunt · To what, where: parks, Berlin, Japan, roads, Mumbai
This is a sentence of the lesson «Big wild animals in cities: wild boar, deer, coyotes, monkeys and leopards» 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 (wild boar, deer, coyotes, leopards), what happens, when and where, as Mova's frames read it from the tree.
The tree
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Cities | city | NOUN | Number=Plur | 6 people | nsubj |
| 2 | are | be | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | root | root |
| 3 | not | not | PART | Polarity=Neg | 6 people | advmod |
| 4 | only | only | ADV | _ | 6 people | advmod |
| 5 | for | for | ADP | _ | 6 people | case |
| 6 | people | people | NOUN | Number=Plur | 2 are | obl |
| 7 | : | : | PUNCT | _ | 2 are | punct |
| 8 | wild | wild | ADJ | Degree=Pos | 9 boar | amod |
| 9 | boar | boar | NOUN | Number=Sing | 10 dig | nsubj |
| 10 | dig | dig | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 2 are | parataxis |
| 11 | up | up | ADP | _ | 10 dig | compound:prt |
| 12 | parks | park | NOUN | Number=Plur | 10 dig | obj |
| 13 | in | in | ADP | _ | 14 Berlin | case |
| 14 | Berlin | Berlin | PROPN | Number=Sing | 12 parks | nmod |
| 15 | , | , | PUNCT | _ | 17 bow | punct |
| 16 | deer | deer | NOUN | Number=Sing | 17 bow | nsubj |
| 17 | bow | bow | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 10 dig | conj |
| 18 | to | to | ADP | _ | 19 tourists | case |
| 19 | tourists | tourist | NOUN | Number=Plur | 17 bow | obl |
| 20 | in | in | ADP | _ | 21 Japan | case |
| 21 | Japan | Japan | PROPN | Number=Sing | 17 bow | obl |
| 22 | , | , | PUNCT | _ | 10 dig | punct |
| 23 | coyotes | coyote | NOUN | Number=Plur | 24 cross | nsubj |
| 24 | cross | cross | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 10 dig | conj |
| 25 | roads | road | NOUN | Number=Plur | 24 cross | obj |
| 26 | in | in | ADP | _ | 27 Chicago | case |
| 27 | Chicago | Chicago | PROPN | Number=Sing | 24 cross | obl |
| 28 | and | and | CCONJ | _ | 29 leopards | cc |
| 29 | leopards | leopard | NOUN | Number=Plur | 30 hunt | nsubj |
| 30 | hunt | hunt | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 10 dig | conj |
| 31 | at | at | ADP | _ | 32 night | case |
| 32 | night | night | NOUN | Number=Sing | 30 hunt | obl |
| 33 | inside | inside | ADP | _ | 34 Mumbai | case |
| 34 | Mumbai | Mumbai | PROPN | Number=Sing | 30 hunt | obl |
| 35 | . | . | PUNCT | _ | 6 people | punct |
Pragmatics
No stored speech act for this sentence.
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | be | present | for people | vn exist-47.1 «NP V»: agent=Theme | |||||
| 2 | dig up | present | wild boar | parks | Berlin | vn hunt-35.1 «NP V NP PP.location»: agent=Agent park=Theme in berlin=Location | |||
| 3 | bow | present | deer | Japan | to tourists | vn acquiesce-95.1-1 «NP V PP.theme»: agent=Agent to tourist=Theme | |||
| 4 | cross | present | coyotes | roads | in Chicago | vn crane-40.3.2 «NP V NP PP.recipient PP.theme»: agent=Agent road=Patient in chicago=Topic | |||
| 5 | hunt | present | leopards | Mumbai | night | vn hunt-35.1 «NP V PP.theme PP.location»: agent=Agent inside mumbai=Location |
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, 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:368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards.lesson:0.
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): R2-punct-next ×1, R5-strong ×1, R6-punct-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.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/biology/368-big-wild-animals-in-cities-wild-boar-deer-coyotes-monkeys-and-leopards/0/