Test 3 · ★ · Japanese Fairy Tales, The Dog Shiro, part 29: the greedy n…
ngl that mortar was lit, what did it do?
Mova's choice: option 3 · The right answer: option 3 · right ✓ · Who acts: mortar · What happens: lit, do · To what, where: ngl
This is test 3 · ★ of lesson 1369 «Japanese Fairy Tales, The Dog Shiro, part 29: the greedy neighbour borrows the magic mortar and breaks it» 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 | ngl | ngl | NOUN | Number=Sing | root | root |
| 2 | that | that | PRON | PronType=Rel | 5 lit | nsubj:pass |
| 3 | mortar | mortar | NOUN | Number=Sing | 5 lit | nsubj:pass |
| 4 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 5 lit | aux:pass |
| 5 | lit | lit | VERB | Tense=Past VerbForm=Part Voice=Pass | 1 ngl | acl:relcl |
| 6 | , | , | PUNCT | _ | 10 do | punct |
| 7 | what | what | PRON | PronType=Int | 10 do | obj |
| 8 | did | do | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 10 do | aux |
| 9 | it | it | PRON | Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs | 10 do | nsubj |
| 10 | do | do | VERB | VerbForm=Inf | 1 ngl | parataxis |
| 11 | ? | ? | PUNCT | _ | 1 ngl | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | lit | past · passive | ngl | tree rules | |||||
| 2 | do | past · do-support | mortar | ngl | vn act-114-1 «NP V NP»: agent=Agent what=Eventuality |
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
made more rice cakes than went in, every single day
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | made | make | VERB | Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin | root | root |
| 2 | more | more | ADJ | Degree=Cmp | 4 cakes | amod |
| 3 | rice | rice | NOUN | Number=Sing | 4 cakes | compound |
| 4 | cakes | cake | NOUN | Number=Plur | 1 made | obj |
| 5 | than | than | SCONJ | _ | 6 went | mark |
| 6 | went | go | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 4 cakes | acl:relcl |
| 7 | in | in | ADV | _ | 6 went | advmod |
| 8 | , | , | PUNCT | _ | 11 day | punct |
| 9 | every | every | DET | PronType=Tot | 11 day | det |
| 10 | single | single | ADJ | Degree=Pos | 11 day | amod |
| 11 | day | day | NOUN | Number=Sing | 1 made | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | make | past | more rice cakes | day | vn build-26.1-1 «NP.asset V NP»: agent=Asset cake=Product | ||||
| 2 | go in | past | more rice cakes not said here | vn disappearance-48.2-1 «NP V»: agent=Theme |
Option 2
turned rice into extra cakes
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | turned | turn | VERB | Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin | root | root |
| 2 | rice | rice | NOUN | Number=Sing | 1 turned | obj |
| 3 | into | into | ADP | _ | 5 cakes | case |
| 4 | extra | extra | ADJ | Degree=Pos | 5 cakes | amod |
| 5 | cakes | cake | NOUN | Number=Plur | 1 turned | obl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | turn | past | rice | extra cakes | vn roll-51.3.1 «NP V NP PP.trajectory»: agent=Agent rice=Theme into cake=Trajectory |
Option 3 · ← Mova's choice · ✓ the right answer
made more rice cakes than went in
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | made | make | VERB | Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin | root | root |
| 2 | more | more | ADJ | Degree=Cmp | 4 cakes | amod |
| 3 | rice | rice | NOUN | Number=Sing | 4 cakes | compound |
| 4 | cakes | cake | NOUN | Number=Plur | 1 made | obj |
| 5 | than | than | SCONJ | _ | 6 went | mark |
| 6 | went | go | VERB | Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin | 1 made | advcl |
| 7 | in | in | ADV | _ | 6 went | advmod |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | make | past | more rice cakes | vn build-26.1-1 «NP.asset V NP»: agent=Asset cake=Product | |||||
| 2 | go in | past | vn disappearance-48.2-1 «NP V»: agent=Theme |
Option 4
gave more cakes than rice given
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | gave | give | VERB | Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin | root | root |
| 2 | more | more | ADJ | Degree=Cmp | 3 cakes | amod |
| 3 | cakes | cake | NOUN | Number=Plur | 1 gave | obj |
| 4 | than | than | ADP | _ | 5 rice | case |
| 5 | rice | rice | NOUN | Number=Sing | 1 gave | obl |
| 6 | given | give | VERB | Tense=Past VerbForm=Part Voice=Pass | 1 gave | advcl |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | give | past | more cakes | than rice | vn give-13.1-1 «NP V NP»: agent=Agent cake=Theme | ||||
| 2 | give | participle | vn break_down-45.8 «NP V»: agent=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/1369-pg4018-part29/t3/