Using AI to learn, not to copy, sentence 3

Jake asked it to explain long division three different ways until it finally clicked, and Lily learned what a metaphor is and then wrote three of her own.

Who acts: Jake, bot, Lily · What happens: ask, explain, click, learn, be, write · To what, where: bot, long division, metaphor, three · Speech: someone speaks here

This is a sentence of the lesson «Using AI to learn, not to copy» 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 (Jake, bot, Lily), 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	Jake	Jake	PROPN	Number=Sing	2 asked	nsubj
2	asked	ask	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	root	root
3	it	it	PRON	Case=Acc Gender=Neut Number=Sing Person=3 PronType=Prs	2 asked	obj
4	to	to	PART	_	5 explain	mark
5	explain	explain	VERB	VerbForm=Inf	2 asked	xcomp
6	long	long	ADJ	Degree=Pos	7 division	amod
7	division	division	NOUN	Number=Sing	5 explain	obj
8	three	three	NUM	NumForm=Word NumType=Card	10 ways	nummod
9	different	different	ADJ	Degree=Pos	10 ways	amod
10	ways	way	NOUN	Number=Plur	5 explain	obl
11	until	until	SCONJ	_	14 clicked	mark
12	it	it	PRON	Case=Nom Gender=Neut Number=Sing Person=3 PronType=Prs	14 clicked	nsubj
13	finally	finally	ADV	_	14 clicked	advmod
14	clicked	click	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	5 explain	advcl
15	,	,	PUNCT	_	18 learned	punct
16	and	and	CCONJ	_	18 learned	cc
17	Lily	Lily	PROPN	Number=Sing	18 learned	nsubj
18	learned	learn	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	2 asked	conj
19	what	what	PRON	PronType=Int	21 metaphor	nsubj
20	a	a	DET	Definite=Ind PronType=Art	21 metaphor	det
21	metaphor	metaphor	NOUN	Number=Sing	18 learned	ccomp
22	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	21 metaphor	cop
23	and	and	CCONJ	_	25 wrote	cc
24	then	then	ADV	PronType=Dem	25 wrote	advmod
25	wrote	write	VERB	Mood=Ind Number=Sing Person=3 Tense=Past VerbForm=Fin	18 learned	conj
26	three	three	NUM	NumForm=Word NumType=Card	25 wrote	obj
27	of	of	ADP	_	29 own	case
28	her	her	PRON	Case=Gen Gender=Fem Number=Sing Person=3 Poss=Yes PronType=Prs	29 own	nmod:poss
29	own	own	ADJ	Degree=Pos	26 three	nmod
30	.	.	PUNCT	_	2 asked	punct

Pragmatics

No stored speech act for this sentence.

#	verb	tense, mood	who	what, whom	to whom	when	other	roles by
1	ask speech: ask	past	Jake		bot			vn inquire-37.1.2 «NP V NP whether S_INF»: agent=Agent it=Recipient clause=Topic
2	explain speech: assert not said to happen	to-infinitive	Jake not said here	long division			three different ways obl	vn transfer_mesg-37.1.1 «NP V NP»: agent=Agent division=Topic
3	click	past	bot				finally property	vn sound_emission-43.2 «NP V»: agent=Theme
4	learn	past	Lily					vn learn-14-1 «NP V»: agent=Agent
5	is a	present		a metaphor				tree rules
6	write	past	Lily not said here	three of Lily's own		then		vn scribble-25.2-1 «NP V NP»: agent=Agent three=Theme

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:010-using-ai-to-learn-not-to-copy.lesson:3.

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): R7-rel-agree ×2. 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/10-using-ai-to-learn-not-to-copy/3/