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Test 11 · ★ · Ideas on the move: numbers, paper, letters, chess and news

Aarav: "Scholars in Toledo translating books? Like Google Translate, but slow?" What did they actually do?

Mova's choice: option 1 · The right answer: option 1 · right ✓ · Who acts: Scholars, books · What happens: translate, do · To what, where: books

This is test 11 · ★ of lesson 75 «Ideas on the move: numbers, paper, letters, chess and news» of the history 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: Aarav: "Scholars in Toledo translating books?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Aarav	Aarav	PROPN	Number=Sing	root	root
2	:	:	PUNCT	_	4 Scholars	punct
3	"	"	PUNCT	_	4 Scholars	punct
4	Scholars	scholar	NOUN	Number=Plur	1 Aarav	appos
5	in	in	ADP	_	6 Toledo	case
6	Toledo	Toledo	PROPN	Number=Sing	4 Scholars	nmod
7	translating	translate	VERB	VerbForm=Ger	4 Scholars	acl
8	books	book	NOUN	Number=Plur	7 translating	obj
9	?	?	PUNCT	_	1 Aarav	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	translate in a quote	gerund	Scholars in Toledo not said here	books					vn turn-26.6.1 «NP V NP»: agent=Agent book=Patient

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: Like Google Translate, but slow?"

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Like	like	ADP	_	3 Translate	case
2	Google	Google	PROPN	Number=Sing	3 Translate	compound
3	Translate	Translate	PROPN	Number=Sing	6 slow	obl
4	,	,	PUNCT	_	6 slow	punct
5	but	but	CCONJ	_	6 slow	cc
6	slow	slow	ADJ	Degree=Pos	root	root
7	?	?	PUNCT	_	6 slow	punct
8	"	"	PUNCT	_	6 slow	punct

The frames reader finds no event or fact in this sentence.

Sentence 3: What did they actually do?

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	What	what	PRON	PronType=Int	2 did	nsubj
2	did	do	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	they	they	PRON	Case=Nom Number=Plur Person=3 PronType=Prs	5 do	nsubj
4	actually	actually	ADV	_	5 do	advmod
5	do	do	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	2 did	ccomp
6	?	?	PUNCT	_	2 did	punct

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	do	past							tree rules
2	do	present	books = book					actually property	vn act-114-1 «NP V»: agent=Agent

The options

Option 1 · ← Mova's choice · ✓ the right answer

Translated Arabic books into Latin, bringing science to Europe

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Translated	translate	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	Arabic	Arabic	PROPN	Number=Sing	3 books	compound
3	books	book	NOUN	Number=Plur	1 Translated	obj
4	into	into	ADP	_	5 Latin	case
5	Latin	Latin	PROPN	Number=Sing	1 Translated	obl
6	,	,	PUNCT	_	7 bringing	punct
7	bringing	bring	VERB	Tense=Pres VerbForm=Part	1 Translated	advcl
8	science	science	NOUN	Number=Sing	7 bringing	obj
9	to	to	ADP	_	10 Europe	case
10	Europe	Europe	PROPN	Number=Sing	7 bringing	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	translate	past		Arabic books				into Latin result	vn turn-26.6.1 «NP V NP.patient PP.result»: agent=Agent book=Patient into latin=Result
2	bring	gerund		science	Europe				vn bring-11.3-1 «NP V NP PP.destination»: agent=Agent science=Theme to europe=Destination

Option 2

Translated English books into Chinese

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Translated	translate	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	English	English	PROPN	Number=Sing	3 books	compound
3	books	book	NOUN	Number=Plur	1 Translated	obj
4	into	into	ADP	_	5 Chinese	case
5	Chinese	Chinese	ADJ	Degree=Pos	1 Translated	obl

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	translate	past		English books				into Chinese result	vn turn-26.6.1 «NP V NP.patient PP.result»: agent=Agent book=Patient into chinese=Result

Option 3

Burned all foreign books

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Burned	burn	VERB	Tense=Past VerbForm=Part Voice=Pass	root	root
2	all	all	DET	PronType=Tot	4 books	det
3	foreign	foreign	ADJ	Degree=Pos	4 books	amod
4	books	book	NOUN	Number=Plur	1 Burned	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	burn	participle		all foreign books					vn light_emission-43.1 «NP V NP.theme»: agent=Agent book=Theme

Option 4

Built the first computer

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	Built	build	VERB	Mood=Ind Number=Sing Person=1 Tense=Past VerbForm=Fin	root	root
2	the	the	DET	Definite=Def PronType=Art	4 computer	det
3	first	first	ADJ	Degree=Pos NumForm=Word NumType=Ord	4 computer	amod
4	computer	computer	NOUN	Number=Sing	1 Built	obj

#	verb	tense, mood	who	what, whom	to whom	where	when	other	roles by
1	build	past		the first computer					vn build-26.1-1 «NP.asset V NP»: agent=Asset computer=Product

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/history/75-ideas-on-the-move-numbers-paper-letters-chess-and-news/t11/