Test 3 · How nature documentaries are made: hides, camera traps, dr…
Count them: a camera films 25 pictures a second. How many pictures in 4 seconds?
Mova's choice: option 1 · The right answer: option 2 · wrong ✗ · Who acts: you · What happens: count · To what, where: them
This is test 3 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
Sentence 1: Count them: a camera films 25 pictures a second.
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Count | count | VERB | Mood=Imp VerbForm=Fin | root | root |
| 2 | them | they | PRON | Case=Acc Number=Plur Person=3 PronType=Prs | 1 Count | obj |
| 3 | : | : | PUNCT | _ | 6 films | punct |
| 4 | a | a | DET | Definite=Ind PronType=Art | 6 films | det |
| 5 | camera | camera | NOUN | Number=Sing | 6 films | compound |
| 6 | films | film | NOUN | Number=Plur | 1 Count | obl |
| 7 | 25 | 25 | NUM | NumForm=Digit NumType=Card | 8 pictures | nummod |
| 8 | pictures | picture | NOUN | Number=Plur | 6 films | conj |
| 9 | a | a | DET | Definite=Ind PronType=Art | 10 second | det |
| 10 | second | second | NOUN | Number=Sing | 8 pictures | nmod |
| 11 | . | . | PUNCT | _ | 1 Count | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | count | imperative | you not said here | them = they | a camera films and 25 pictures a second obl | vn multiply-108 «NP V NP»: agent=Agent they=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.
Sentence 2: How many pictures in 4 seconds?
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | How | how | ADV | PronType=Int | 2 many | advmod |
| 2 | many | many | ADJ | Degree=Pos | 3 pictures | amod |
| 3 | pictures | picture | NOUN | Number=Plur | root | root |
| 4 | in | in | ADP | _ | 6 seconds | case |
| 5 | 4 | 4 | NUM | NumForm=Digit NumType=Card | 6 seconds | nummod |
| 6 | seconds | second | NOUN | Number=Plur | 3 pictures | nmod |
| 7 | ? | ? | PUNCT | _ | 3 pictures | punct |
The frames reader finds no event or fact in this sentence.
The options
Option 1 · ← Mova's choice
50
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | 50 | 50 | NUM | NumForm=Digit NumType=Card | root | root |
The frames reader finds no event or fact in this sentence.
Option 2 · ✓ the right answer
100
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | 100 | 100 | NUM | NumForm=Digit NumType=Card | root | root |
The frames reader finds no event or fact in this sentence.
Option 3
125
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | 125 | 125 | NUM | NumForm=Digit NumType=Card | root | root |
The frames reader finds no event or fact in this sentence.
Option 4
29
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | 29 | 29 | NUM | NumForm=Digit NumType=Card | root | root |
The frames reader finds no event or fact in this sentence.
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/t3/