Cars, doctors, scientists and translators, sentence 2

But every one of these helpers is a guesser: captions can turn a word into "duck", a translation can twist an important letter, and a quiz made by AI can have a wrong answer.

Who acts: one, captions, translation, quiz · What happens: be, turn, twist, make, have · To what, where: guesser, word, important letter, quiz, wrong answer

This is a sentence of the lesson «Cars, doctors, scientists and translators» of the ai course of Mova's primary school. The page gives its syntax tree — a dependency tree in the style of Universal Dependencies — and its pragmatics clause by clause: who acts (one, captions, translation, quiz), what happens, when and where, as Mova's frames read it from the tree.

The tree

The words, one row each (CoNLL-U)

#	word	lemma	UPOS	features	head	relation
1	But	but	CCONJ	_	9 guesser	cc
2	every	every	DET	PronType=Tot	3 one	det
3	one	one	NOUN	Number=Sing	9 guesser	nsubj
4	of	of	ADP	_	6 helpers	case
5	these	this	DET	Number=Plur PronType=Dem	6 helpers	det
6	helpers	helper	NOUN	Number=Plur	3 one	nmod
7	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	9 guesser	cop
8	a	a	DET	Definite=Ind PronType=Art	9 guesser	det
9	guesser	guesser	NOUN	Number=Sing	root	root
10	:	:	PUNCT	_	13 turn	punct
11	captions	caption	NOUN	Number=Plur	13 turn	nsubj
12	can	can	AUX	VerbForm=Fin	13 turn	aux
13	turn	turn	VERB	VerbForm=Inf	9 guesser	parataxis
14	a	a	DET	Definite=Ind PronType=Art	15 word	det
15	word	word	NOUN	Number=Sing	13 turn	obj
16	into	into	ADP	_	18 duck	case
17	"	"	PUNCT	_	18 duck	punct
18	duck	duck	NOUN	Number=Sing	13 turn	obl
19	"	"	PUNCT	_	18 duck	punct
20	,	,	PUNCT	_	24 twist	punct
21	a	a	DET	Definite=Ind PronType=Art	22 translation	det
22	translation	translation	NOUN	Number=Sing	24 twist	nsubj
23	can	can	AUX	VerbForm=Fin	24 twist	aux
24	twist	twist	VERB	VerbForm=Inf	13 turn	conj
25	an	a	DET	Definite=Ind PronType=Art	27 letter	det
26	important	important	ADJ	Degree=Pos	27 letter	amod
27	letter	letter	NOUN	Number=Sing	24 twist	obj
28	,	,	PUNCT	_	36 have	punct
29	and	and	CCONJ	_	36 have	cc
30	a	a	DET	Definite=Ind PronType=Art	31 quiz	det
31	quiz	quiz	NOUN	Number=Sing	36 have	nsubj
32	made	make	VERB	Tense=Past VerbForm=Part Voice=Pass	31 quiz	acl
33	by	by	ADP	_	34 AI	case
34	AI	ai	NOUN	Number=Sing	32 made	obl:agent
35	can	can	AUX	VerbForm=Fin	36 have	aux
36	have	have	VERB	VerbForm=Inf	24 twist	conj
37	a	a	DET	Definite=Ind PronType=Art	39 answer	det
38	wrong	wrong	ADJ	Degree=Pos	39 answer	amod
39	answer	answer	NOUN	Number=Sing	36 have	obj
40	.	.	PUNCT	_	9 guesser	punct

Pragmatics

No stored speech act for this sentence.

#	verb	tense, mood	who	what, whom	other	roles by
1	is a	present	every one of this helpers	a guesser		tree rules
2	turn	can	captions	a word	into duck result	vn roll-51.3.1 «NP V NP PP.result»: agent=Agent word=Theme into duck=Result
3	twist	can	a translation	a important letter		vn roll-51.3.1 «NP V NP.theme»: agent=Agent letter=Theme
4	make	participle		a quiz not said here		vn build-26.1-1 «NP.asset V NP»: agent=Asset
5	have	can	a quiz	a wrong answer		vn birth-28.2-1 «NP V NP»: agent=Agent answer=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.

Licence: CC BY-SA 4.0, as the whole of Mova corpus 0.4, of which this treebank (the agreed school, mova-school-agreed-en.conllu) is part. The lessons were written for Mova's primary school. Sentence school:ai:018-cars-doctors-translators.lesson:2.

The tree: Mova annot: Rust (en) → Haiku 5.5 (medium, Batches API) patches; gates UD 2.18; agreed by treeagree rules (Stanza, Trankit, spaCy trf): R6-punct-agree ×3, R8-pos-agree ×1. The frames are read from the tree by Mova's frames reader (prag) when this page is built, the lesson read in order, so a pronoun may be resolved from an earlier sentence.

See the release 0.4.

This page in Markdown → https://md.mova.elamur.ai/free/en/corpora/school/ai/18-cars-doctors-translators/2/