Mova0.5 pre-release⌕
☰
home / corpora / school / Biology / How nature documentaries are made: hid… / 15

How nature documentaries are made: hides, camera traps, drones and years of waiting, sentence 15

Some divers use special breathing machines that let out no noisy bubbles, because bubbles and noise scare many fish; some deep scenes are filmed from small submarines.

Who acts: divers, special breathing machines, bubbles · What happens: use, let out, scare, film · To what, where: special breathing machines, noisy bubbles, many fish, deep scenes, small submarines

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 (divers, special breathing machines, bubbles), what happens, when and where, as Mova's frames read it from the tree.

The tree

detnsubjamodcompoundobjnsubjacl:relclcompound:prtdetamodobjpunctmarknsubjccconjadvclamodobjpunctdetamodnsubj:passaux:passparataxiscaseamodoblpunctrootSomeDETdiversNOUNuseVERBspecialADJbreathingNOUNmachinesNOUNthatPRONletVERBoutADPnoDETnoisyADJbubblesNOUN,PUNCTbecauseSCONJbubblesNOUNandCCONJnoiseNOUNscareVERBmanyADJfishNOUN;PUNCTsomeDETdeepADJscenesNOUNareAUXfilmedVERBfromADPsmallADJsubmarinesNOUN.PUNCT
The words, one row each (CoNLL-U)
#wordlemmaUPOSfeaturesheadrelation
1SomesomeDETPronType=Ind2 diversdet
2diversdiverNOUNNumber=Plur3 usensubj
3useuseVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Finrootroot
4specialspecialADJDegree=Pos6 machinesamod
5breathingbreathingNOUNNumber=Sing6 machinescompound
6machinesmachineNOUNNumber=Plur3 useobj
7thatthatPRONPronType=Rel8 letnsubj
8letletVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin6 machinesacl:relcl
9outoutADP_8 letcompound:prt
10nonoDETPronType=Neg12 bubblesdet
11noisynoisyADJDegree=Pos12 bubblesamod
12bubblesbubbleNOUNNumber=Plur8 letobj
13,,PUNCT_26 filmedpunct
14becausebecauseSCONJ_18 scaremark
15bubblesbubbleNOUNNumber=Plur18 scarensubj
16andandCCONJ_17 noisecc
17noisenoiseNOUNNumber=Sing15 bubblesconj
18scarescareVERBMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin3 useadvcl
19manymanyADJDegree=Pos20 fishamod
20fishfishNOUNNumber=Plur18 scareobj
21;;PUNCT_24 scenespunct
22somesomeDETPronType=Ind24 scenesdet
23deepdeepADJDegree=Pos24 scenesamod
24scenessceneNOUNNumber=Plur26 filmednsubj:pass
25arebeAUXMood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin26 filmedaux:pass
26filmedfilmVERBTense=Past VerbForm=Part Voice=Pass3 useparataxis
27fromfromADP_29 submarinescase
28smallsmallADJDegree=Pos29 submarinesamod
29submarinessubmarineNOUNNumber=Plur26 filmedobl
30..PUNCT_3 usepunct

Pragmatics

No stored speech act for this sentence.

#verbtense, moodwhowhat, whomto whomwherewhenotherroles by
1usepresentsome diversspecial breathing machinesvn eat-39.1 «NP V NP»: agent=Agent machine=Patient
2let outpresentspecial breathing machinesno noisy bubblesvn give-13.1-1 «NP V NP»: agent=Agent bubble=Theme
3scarepresentbubbles and noisemany fishvn amuse-31.1 «NP V NP»: agent=Stimulus fish=Experiencer
4filmpresent · passivesome deep scenessmall submarinesvn transcribe-25.4 «NP V NP»: subject=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, 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:15.

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): R1-cc-next ×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.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/15/