Test 10 · How nature documentaries are made: hides, camera traps, dr…
Why might a diver with a bubbling mask film fewer fish than a diver with a no-bubble machine?
Mova's choice: option 1 · The right answer: option 1 · right ✓ · What happens: bubble
This is test 10 of lesson 394 «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 the question's syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause, then the 4 options as the student saw them, each with its tree and pragmatics. Every text is parsed by Mova itself. How the student answered it, with the score of every option and why: the test at school.
The question
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Why | why | ADV | PronType=Int | root | root |
| 2 | might | might | AUX | VerbForm=Fin | 1 Why | aux |
| 3 | a | a | DET | Definite=Ind PronType=Art | 4 diver | det |
| 4 | diver | diver | NOUN | Number=Sing | 2 might | nsubj |
| 5 | with | with | ADP | _ | 9 film | case |
| 6 | a | a | DET | Definite=Ind PronType=Art | 9 film | det |
| 7 | bubbling | bubble | VERB | VerbForm=Ger | 9 film | amod |
| 8 | mask | mask | NOUN | Number=Sing | 9 film | compound |
| 9 | film | film | NOUN | Number=Sing | 4 diver | nmod |
| 10 | fewer | few | ADJ | Degree=Cmp | 11 fish | amod |
| 11 | fish | fish | NOUN | Number=Plur | 9 film | conj |
| 12 | than | than | ADP | _ | 14 diver | case |
| 13 | a | a | DET | Definite=Ind PronType=Art | 14 diver | det |
| 14 | diver | diver | NOUN | Number=Sing | 11 fish | nmod |
| 15 | with | with | ADP | _ | 20 machine | case |
| 16 | a | a | DET | Definite=Ind PronType=Art | 20 machine | det |
| 17 | no | no | DET | PronType=Neg | 19 bubble | det |
| 18 | - | - | PUNCT | _ | 17 no | punct |
| 19 | bubble | bubble | NOUN | Number=Sing | 20 machine | compound |
| 20 | machine | machine | NOUN | Number=Sing | 14 diver | nmod |
| 21 | ? | ? | PUNCT | _ | 1 Why | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | bubble | gerund | vn substance_emission-43.4-1 «NP V»: agent=Source |
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.
The options
Option 1 · ← Mova's choice · ✓ the right answer
Bubbles and noise scare many fish away
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Bubbles | bubble | NOUN | Number=Plur | 4 scare | nsubj |
| 2 | and | and | CCONJ | _ | 3 noise | cc |
| 3 | noise | noise | NOUN | Number=Sing | 1 Bubbles | conj |
| 4 | scare | scare | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | root | root |
| 5 | many | many | ADJ | Degree=Pos | 6 fish | amod |
| 6 | fish | fish | NOUN | Number=Plur | 4 scare | obj |
| 7 | away | away | ADV | _ | 4 scare | advmod |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | scare away | present | Bubbles and noise | many fish | away property | vn amuse-31.1 «NP V NP»: agent=Stimulus fish=Experiencer |
Option 2
Fish are drawn only to quiet divers' torches
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Fish | fish | NOUN | Number=Plur | 3 drawn | nsubj |
| 2 | are | be | AUX | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | 3 drawn | aux:pass |
| 3 | drawn | draw | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 4 | only | only | ADV | _ | 9 torches | advmod |
| 5 | to | to | ADP | _ | 9 torches | case |
| 6 | quiet | quiet | ADJ | Degree=Pos | 7 divers | amod |
| 7 | divers | diver | NOUN | Number=Plur | 9 torches | nmod:poss |
| 8 | ' | 's | PART | _ | 7 divers | case |
| 9 | torches | torch | NOUN | Number=Plur | 3 drawn | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | draw | present · passive | Fish | quiet divers's torches | vn carry-11.4 «NP V NP PP.destination»: subject=Theme to torch=Destination |
Option 3
Bubbles make the water dark
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Bubbles | bubble | NOUN | Number=Plur | 2 make | nsubj |
| 2 | make | make | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | root | root |
| 3 | the | the | DET | Definite=Def PronType=Art | 4 water | det |
| 4 | water | water | NOUN | Number=Sing | 2 make | obj |
| 5 | dark | dark | ADJ | Degree=Pos | 2 make | xcomp |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | make | present | Bubbles | the water | dark property | vn build-26.1-1 «NP.asset V NP»: agent=Asset water=Product |
Option 4
Bubbles hide the camera lens
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Bubbles | bubble | NOUN | Number=Plur | 2 hide | nsubj |
| 2 | hide | hide | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | root | root |
| 3 | the | the | DET | Definite=Def PronType=Art | 5 lens | det |
| 4 | camera | camera | NOUN | Number=Sing | 5 lens | compound |
| 5 | lens | lens | NOUN | Number=Sing | 2 hide | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | hide | present | Bubbles | the camera lens | vn concealment-16-1 «NP V NP»: agent=Agent lens=Patient |
Text: the tests of Mova's primary school, written for Mova (world/data/school/), as the course runner gave them to the student. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each text read on its own. Elamur Cosmic License.
This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/questions/biology/394-how-nature-documentaries-are-made-hides-camera-traps-drones-and-years-of-waiting/t10/