Test 10 · Eagles: golden eagles, harpy eagles, Steller's sea eagles…
Why would an eagle that catches big fish need a huge beak?
Mova's choice: option 4 · The right answer: option 3 · wrong ✗ · Who acts: eagle · What happens: catch, need · To what, where: big fish, huge beak
This is test 10 of lesson 323 «Eagles: golden eagles, harpy eagles, Steller's sea eagles and eagle eyes» 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 | 9 need | advmod |
| 2 | would | would | AUX | VerbForm=Fin | 9 need | aux |
| 3 | an | a | DET | Definite=Ind PronType=Art | 4 eagle | det |
| 4 | eagle | eagle | NOUN | Number=Sing | 9 need | nsubj |
| 5 | that | that | PRON | PronType=Rel | 6 catches | nsubj |
| 6 | catches | catch | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 4 eagle | acl:relcl |
| 7 | big | big | ADJ | Degree=Pos | 8 fish | amod |
| 8 | fish | fish | NOUN | Number=Plur | 6 catches | obj |
| 9 | need | need | VERB | Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin | root | root |
| 10 | a | a | DET | Definite=Ind PronType=Art | 12 beak | det |
| 11 | huge | huge | ADJ | Degree=Pos | 12 beak | amod |
| 12 | beak | beak | NOUN | Number=Sing | 9 need | obj |
| 13 | ? | ? | PUNCT | _ | 9 need | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | catch | present | a eagle | big fish | vn get-13.5.1 «NP V NP»: agent=Agent fish=Theme | ||||
| 2 | need | would | a eagle | a huge beak | vn want-32.1-1-1 «NP V NP ADV»: agent=Pivot beak=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.
The options
Option 1
To dig a nest in the ice
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | To | to | PART | _ | 2 dig | mark |
| 2 | dig | dig | VERB | Mood=Imp VerbForm=Fin | root | root |
| 3 | a | a | DET | Definite=Ind PronType=Art | 4 nest | det |
| 4 | nest | nest | NOUN | Number=Sing | 2 dig | obj |
| 5 | in | in | ADP | _ | 7 ice | case |
| 6 | the | the | DET | Definite=Def PronType=Art | 7 ice | det |
| 7 | ice | ice | NOUN | Number=Sing | 2 dig | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | dig | to-infinitive | a nest | the ice | vn hunt-35.1 «NP V NP PP.location»: agent=Agent nest=Theme in ice=Location |
Option 2
To sing loudly to its mate
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | To | to | PART | _ | 2 sing | mark |
| 2 | sing | sing | VERB | Mood=Imp VerbForm=Fin | root | root |
| 3 | loudly | loudly | ADV | _ | 2 sing | advmod |
| 4 | to | to | ADP | _ | 6 mate | case |
| 5 | its | its | PRON | Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs | 6 mate | nmod:poss |
| 6 | mate | mate | NOUN | Number=Sing | 2 sing | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | sing speech: express | to-infinitive | its mate | loudly property | vn manner_speaking-37.3 «NP V PP.recipient»: agent=Agent to mate=Recipient |
Option 3 · ✓ the right answer
To tear apart big, tough, slippery meals
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | To | to | PART | _ | 2 tear | mark |
| 2 | tear | tear | VERB | Mood=Imp VerbForm=Fin | root | root |
| 3 | apart | apart | ADV | _ | 2 tear | advmod |
| 4 | big | big | ADJ | Degree=Pos | 9 meals | amod |
| 5 | , | , | PUNCT | _ | 6 tough | punct |
| 6 | tough | tough | ADJ | Degree=Pos | 4 big | conj |
| 7 | , | , | PUNCT | _ | 4 big | punct |
| 8 | slippery | slippery | ADJ | Degree=Pos | 9 meals | amod |
| 9 | meals | meal | NOUN | Number=Plur | 2 tear | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | tear apart | to-infinitive | big slippery meals | apart property | vn run-51.3.2 «PP.location V NP»: agent=Initial_Location meal=Theme |
Option 4 · ← Mova's choice
To scoop the fish out from deep under the water
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | To | to | PART | _ | 2 scoop | mark |
| 2 | scoop | scoop | VERB | Mood=Imp VerbForm=Fin | root | root |
| 3 | the | the | DET | Definite=Def PronType=Art | 4 fish | det |
| 4 | fish | fish | NOUN | Number=Sing | 2 scoop | obj |
| 5 | out | out | ADP | _ | 2 scoop | compound:prt |
| 6 | from | from | ADP | _ | 7 deep | case |
| 7 | deep | deep | ADJ | Degree=Pos | 2 scoop | obl |
| 8 | under | under | ADP | _ | 10 water | case |
| 9 | the | the | DET | Definite=Def PronType=Art | 10 water | det |
| 10 | water | water | NOUN | Number=Sing | 2 scoop | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | scoop out | to-infinitive | the fish | deep | under the water | vn funnel-9.3 «NP V NP PP.trajectory»: agent=Agent fish=Theme from deep=Trajectory |
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/323-eagles-golden-eagles-harpy-eagles-stellers-sea-eagles-and-eagle-eyes/t10/