Test 5 · ★ · Borrowed words: French, Norse and Latin
Leo reckons a printer in the 1400s made up the egg story to be funny. What does the story really show?
Mova's choice: option 1 · The right answer: option 3 · wrong ✗ · Who acts: Leo, story · What happens: reckon, make up, be, show · To what, where: printer, egg story, 1400s
This is test 5 · ★ of lesson 23 «Borrowed words: French, Norse and Latin» of the language 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: Leo reckons a printer in the 1400s made up the egg story to be funny.
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Leo | Leo | PROPN | Number=Sing | 2 reckons | nsubj |
| 2 | reckons | reckon | VERB | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | root | root |
| 3 | a | a | DET | Definite=Ind PronType=Art | 4 printer | det |
| 4 | printer | printer | NOUN | Number=Sing | 2 reckons | obj |
| 5 | in | in | ADP | _ | 7 1400s | case |
| 6 | the | the | DET | Definite=Def PronType=Art | 7 1400s | det |
| 7 | 1400s | 1400 | NOUN | Number=Ptan NumForm=Combi NumType=Card | 8 made | obl |
| 8 | made | make | VERB | Mood=Ind Tense=Past VerbForm=Fin | 2 reckons | parataxis |
| 9 | up | up | ADP | _ | 8 made | compound:prt |
| 10 | the | the | DET | Definite=Def PronType=Art | 12 story | det |
| 11 | egg | egg | NOUN | Number=Sing | 12 story | compound |
| 12 | story | story | NOUN | Number=Sing | 8 made | obj |
| 13 | to | to | PART | _ | 15 funny | mark |
| 14 | be | be | AUX | VerbForm=Inf | 15 funny | cop |
| 15 | funny | funny | ADJ | Degree=Pos | 12 story | acl |
| 16 | . | . | PUNCT | _ | 2 reckons | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | reckon | present | Leo | a printer | vn consider-29.9-1 «NP V NP PP.attribute»: agent=Agent printer=Attribute | ||||
| 2 | make up | past | the egg story | the 1400s | vn comprise-107.2-1 «NP V NP»: agent=Theme story=Pivot | ||||
| 3 | is | to-infinitive | the egg story not said here | funny property | 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.
Sentence 2: What does the story really show?
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | What | what | PRON | PronType=Int | 6 show | obj |
| 2 | does | do | AUX | Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin | 6 show | aux |
| 3 | the | the | DET | Definite=Def PronType=Art | 4 story | det |
| 4 | story | story | NOUN | Number=Sing | 6 show | nsubj |
| 5 | really | really | ADV | _ | 6 show | advmod |
| 6 | show | show | VERB | VerbForm=Inf | root | root |
| 7 | ? | ? | PUNCT | _ | 6 show | punct |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | show | present · do-support | the story | vn transfer_mesg-37.1.1-1-1 «NP V NP.recipient»: agent=Agent what=Recipient |
The options
Option 1 · ← Mova's choice
Nobody in England ate eggs in the 1400s, so nobody knew the word
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Nobody | nobody | PRON | Number=Sing PronType=Neg | 4 ate | nsubj |
| 2 | in | in | ADP | _ | 3 England | case |
| 3 | England | England | PROPN | Number=Sing | 1 Nobody | nmod |
| 4 | ate | eat | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | root | root |
| 5 | eggs | egg | NOUN | Number=Plur | 4 ate | obj |
| 6 | in | in | ADP | _ | 8 1400s | case |
| 7 | the | the | DET | Definite=Def PronType=Art | 8 1400s | det |
| 8 | 1400s | 1400 | NOUN | Number=Ptan NumForm=Combi NumType=Card | 4 ate | obl |
| 9 | , | , | PUNCT | _ | 12 knew | punct |
| 10 | so | so | ADV | _ | 12 knew | advmod |
| 11 | nobody | nobody | PRON | Number=Sing PronType=Neg | 12 knew | nsubj |
| 12 | knew | know | VERB | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 4 ate | parataxis |
| 13 | the | the | DET | Definite=Def PronType=Art | 14 word | det |
| 14 | word | word | NOUN | Number=Sing | 12 knew | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | eat | past | Nobody | eggs | the 1400s | vn eat-39.1-1 «NP V NP»: agent=Agent egg=Patient | |||
| 2 | know | past | nobody | the word | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer word=Stimulus |
Option 2
English was exactly the same everywhere in England back then, town by town
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | English | English | PROPN | Number=Sing | 5 same | nsubj |
| 2 | was | be | AUX | Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin | 5 same | cop |
| 3 | exactly | exactly | ADV | _ | 5 same | advmod |
| 4 | the | the | DET | Definite=Def PronType=Art | 5 same | det |
| 5 | same | same | ADJ | Degree=Pos | root | root |
| 6 | everywhere | everywhere | ADV | PronType=Tot | 5 same | advmod |
| 7 | in | in | ADP | _ | 8 England | case |
| 8 | England | England | PROPN | Number=Sing | 6 everywhere | obl |
| 9 | back | back | ADV | _ | 10 then | advmod |
| 10 | then | then | ADV | PronType=Dem | 6 everywhere | advmod |
| 11 | , | , | PUNCT | _ | 12 town | punct |
| 12 | town | town | NOUN | Number=Sing | 5 same | parataxis |
| 13 | by | by | ADP | _ | 14 town | case |
| 14 | town | town | NOUN | Number=Sing | 12 town | nmod |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | is | past | English | everywhere, exactly, same property | tree rules |
Option 3 · ✓ the right answer
People in different parts of England once used different words
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | People | people | NOUN | Number=Plur | 8 used | nsubj |
| 2 | in | in | ADP | _ | 4 parts | case |
| 3 | different | different | ADJ | Degree=Pos | 4 parts | amod |
| 4 | parts | part | NOUN | Number=Plur | 1 People | nmod |
| 5 | of | of | ADP | _ | 6 England | case |
| 6 | England | England | PROPN | Number=Sing | 4 parts | nmod |
| 7 | once | once | ADV | NumForm=Word NumType=Mult | 8 used | advmod |
| 8 | used | use | VERB | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | root | root |
| 9 | different | different | ADJ | Degree=Pos | 10 words | amod |
| 10 | words | word | NOUN | Number=Plur | 8 used | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | use | past | People in different parts of England | different words | once property | vn eat-39.1 «NP V NP»: agent=Agent word=Patient |
Option 4
Printers did not know English
The words, one row each (CoNLL-U)
| # | word | lemma | UPOS | features | head | relation |
|---|---|---|---|---|---|---|
| 1 | Printers | printer | NOUN | Number=Plur | 4 know | nsubj |
| 2 | did | do | AUX | Mood=Ind Number=Plur Person=3 Tense=Past VerbForm=Fin | 4 know | aux |
| 3 | not | not | PART | Polarity=Neg | 4 know | advmod |
| 4 | know | know | VERB | VerbForm=Inf | root | root |
| 5 | English | English | PROPN | Number=Sing | 4 know | obj |
| # | verb | tense, mood | who | what, whom | to whom | where | when | other | roles by |
|---|---|---|---|---|---|---|---|---|---|
| 1 | not know | past · do-support | Printers | English | vn comprehend-87.2-1-1-1 «NP V NP PP.attribute»: agent=Experiencer english=Stimulus |
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/language/23-borrowed-words-french-norse-and-latin/t5/