Test 9 · ★ · Wild animals, zoos and kindness to animals
Which action is unkind to animals even if you do not mean harm?
Mova's choice: option 2 · The right answer: option 4 · wrong ✗ · Who acts: action, you · What happens: be, not mean · To what, where: harm
This is test 9 · ★ of lesson 71 «Wild animals, zoos and kindness to animals» of the everyday 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 | Which | which | DET | PronType=Int | 2 action | det |
| 2 | action | action | NOUN | Number=Sing | 4 unkind | nsubj |
| 3 | is | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 4 unkind | cop |
| 4 | unkind | unkind | ADJ | Degree=Pos | root | root |
| 5 | to | to | ADP | _ | 6 animals | case |
| 6 | animals | animal | NOUN | Number=Plur | 4 unkind | obl |
| 7 | even | even | ADV | _ | 12 mean | advmod |
| 8 | if | if | SCONJ | _ | 12 mean | mark |
| 9 | you | you | PRON | Case=Nom Person=2 PronType=Prs | 12 mean | nsubj |
| 10 | do | do | AUX | Mood=Ind Number=Sing Person=2 Tense=Pres VerbForm=Fin | 12 mean | aux |
| 11 | not | not | PART | Polarity=Neg | 12 mean | advmod |
| 12 | mean | mean | VERB | VerbForm=Inf | 4 unkind | advcl |
| 13 | harm | harm | NOUN | Number=Sing | 12 mean | obj |
| 14 | ? | ? | PUNCT | _ | 4 unkind | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | present | which action | to animals; unkind property | tree rules | ||||
| 2 | not mean a condition, not said to happen | present · do-support | you | harm | vn intend-61.2-1 «NP V NP»: agent=Agent harm=Topic |
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
Cutting drink rings before binning them
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Cutting | cut | VERB | Tense=Pres VerbForm=Part | root | root |
| 2 | drink | drink | NOUN | Number=Sing | 3 rings | compound |
| 3 | rings | ring | NOUN | Number=Plur | 1 Cutting | obj |
| 4 | before | before | SCONJ | _ | 5 binning | mark |
| 5 | binning | bin | VERB | Tense=Pres VerbForm=Part | 1 Cutting | advcl |
| 6 | them | they | PRON | Case=Acc Number=Plur Person=3 PronType=Prs | 5 binning | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | cut | gerund | drink rings | vn build-26.1-1 «NP.asset V NP»: agent=Asset ring=Product | |||||
| 2 | bin | gerund | rings = ring | vn pocket-9.10 «NP V NP.theme»: agent=Agent they=Theme |
Option 2 · ← Mova's choice
Telling an adult about a hungry stray dog
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Telling | tell | VERB | Tense=Pres VerbForm=Part | root | root |
| 2 | an | a | DET | Definite=Ind PronType=Art | 3 adult | det |
| 3 | adult | adult | NOUN | Number=Sing | 1 Telling | obj |
| 4 | about | about | ADP | _ | 8 dog | case |
| 5 | a | a | DET | Definite=Ind PronType=Art | 8 dog | det |
| 6 | hungry | hungry | ADJ | Degree=Pos | 8 dog | amod |
| 7 | stray | stray | ADJ | Degree=Pos | 8 dog | amod |
| 8 | dog | dog | NOUN | Number=Sing | 1 Telling | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | tell speech: assert | gerund | a adult | about a hungry stray dog | vn transfer_mesg-37.1.1-1-1 «NP V NP S_ING»: agent=Agent adult=Recipient about dog=Topic |
Option 3
Watching ducks quietly from a park bench
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Watching | watch | VERB | Tense=Pres VerbForm=Part | root | root |
| 2 | ducks | duck | NOUN | Number=Plur | 1 Watching | obj |
| 3 | quietly | quietly | ADV | _ | 1 Watching | advmod |
| 4 | from | from | ADP | _ | 7 bench | case |
| 5 | a | a | DET | Definite=Ind PronType=Art | 7 bench | det |
| 6 | park | park | NOUN | Number=Sing | 7 bench | compound |
| 7 | bench | bench | NOUN | Number=Sing | 1 Watching | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | watch | gerund | ducks | a park bench | quietly property | vn assessment-34.1 «NP V NP»: agent=Agent duck=Theme |
Option 4 · ✓ the right answer
Leaving fishing line lying by a pond
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Leaving | leave | VERB | Tense=Pres VerbForm=Part | root | root |
| 2 | fishing | fishing | NOUN | Number=Sing | 3 line | compound |
| 3 | line | line | NOUN | Number=Sing | 1 Leaving | obj |
| 4 | lying | lie | VERB | Tense=Pres VerbForm=Part | 1 Leaving | conj |
| 5 | by | by | ADP | _ | 7 pond | case |
| 6 | a | a | DET | Definite=Ind PronType=Art | 7 pond | det |
| 7 | pond | pond | NOUN | Number=Sing | 4 lying | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | leave | gerund | fishing line | vn keep-15.2 «NP V NP»: agent=Agent line=Theme | |||||
| 2 | lie | gerund | by a pond | vn assuming_position-50 «NP V PP.location»: agent=Agent by pond=Location |
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/everyday/71-wild-animals-zoos-and-kindness/t9/