Test 5 · ★ · Orange Fairy Book, The Story of the Sham Prince, part 1: L…
Mate, what was up with that little dog?
Mova's choice: option 3 · The right answer: option 4 · wrong ✗ · Who acts: Mate · What happens: be
This is test 5 · ★ of lesson 716 «Orange Fairy Book, The Story of the Sham Prince, part 1: Labakan steals a robe, sets off as a prince, and robs his friend» of the books 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 | Mate | mate | NOUN | Number=Sing | root | root |
| 2 | , | , | PUNCT | _ | 9 dog | punct |
| 3 | what | what | PRON | PronType=Int | 9 dog | nsubj |
| 4 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 9 dog | cop |
| 5 | up | up | ADP | _ | 4 was | compound:prt |
| 6 | with | with | ADP | _ | 9 dog | case |
| 7 | that | that | DET | Number=Sing PronType=Dem | 9 dog | det |
| 8 | little | little | ADJ | Degree=Pos | 9 dog | amod |
| 9 | dog | dog | NOUN | Number=Sing | 1 Mate | conj |
| 10 | ? | ? | PUNCT | _ | 1 Mate | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | past | Mate and that little dog | with that little dog | tree rules |
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
It had a sad look on its face
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 2 had | nsubj |
| 2 | had | have | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | a | a | DET | Definite=Ind PronType=Art | 5 look | det |
| 4 | sad | sad | ADJ | Degree=Pos | 5 look | amod |
| 5 | look | look | NOUN | Number=Sing | 2 had | obj |
| 6 | on | on | ADP | _ | 8 face | case |
| 7 | its | its | PRON | Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs | 8 face | nmod:poss |
| 8 | face | face | NOUN | Number=Sing | 2 had | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | have | past | It | a sad look | look's face | vn birth-28.2-1 «NP V NP»: agent=Agent look=Patient |
Option 2
It had tears running down its face like a sad old man at a funeral
The tree, 15 words
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 2 had | nsubj |
| 2 | had | have | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | tears | tear | NOUN | Number=Plur | 2 had | obj |
| 4 | running | run | VERB | VerbForm=Ger | 3 tears | acl |
| 5 | down | down | ADP | _ | 7 face | case |
| 6 | its | its | PRON | Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs | 7 face | nmod:poss |
| 7 | face | face | NOUN | Number=Sing | 4 running | obl |
| 8 | like | like | ADP | _ | 12 man | case |
| 9 | a | a | DET | Definite=Ind PronType=Art | 12 man | det |
| 10 | sad | sad | ADJ | Degree=Pos | 12 man | amod |
| 11 | old | old | ADJ | Degree=Pos | 12 man | amod |
| 12 | man | man | NOUN | Number=Sing | 4 running | obl |
| 13 | at | at | ADP | _ | 15 funeral | case |
| 14 | a | a | DET | Definite=Ind PronType=Art | 15 funeral | det |
| 15 | funeral | funeral | NOUN | Number=Sing | 4 running | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | have | past | It | tears | vn birth-28.2-1 «NP V NP»: agent=Agent tear=Patient | ||||
| 2 | run down | gerund | tears not said here | its face | a funeral | like a sad old man | vn run-51.3.2-2-1 «NP V NP PP.trajectory»: agent=Agent face=Theme at funeral=Trajectory |
Option 3 · ← Mova's choice
It was covered in tears
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 3 covered | nsubj:pass |
| 2 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 3 covered | aux:pass |
| 3 | covered | cover | VERB | Tense=Past VerbForm=Part Voice=Pass | root | root |
| 4 | in | in | ADP | _ | 5 tears | case |
| 5 | tears | tear | NOUN | Number=Plur | 3 covered | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | cover | past · passive | It | in tears | vn fill-9.8-1 «NP V NP PP.theme»: subject=Destination in tear=Theme |
Option 4 · ✓ the right answer
It had tears pouring down its face
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | It | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 2 had | nsubj |
| 2 | had | have | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 3 | tears | tear | NOUN | Number=Plur | 2 had | obj |
| 4 | pouring | pour | VERB | VerbForm=Ger | 3 tears | acl |
| 5 | down | down | ADP | _ | 7 face | case |
| 6 | its | its | PRON | Case=Gen Gender=Neut Number=Sing Person=3 Poss=Yes PronType=Prs | 7 face | nmod:poss |
| 7 | face | face | NOUN | Number=Sing | 4 pouring | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | have | past | It | tears | vn birth-28.2-1 «NP V NP»: agent=Agent tear=Patient | ||||
| 2 | pour down | gerund | tears not said here | its face | vn preparing-26.3-2 «NP V NP»: agent=Agent face=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/books/716-pg2435-part56/t5/