Words that changed their meaning, sentence 13

"Spam" for junk messages comes from a 1970 Monty Python comedy sketch in which people sing "Spam" over and over, drowning out everything else; Spam is also a brand of tinned meat.

Who acts: Spam, people · What happens: come, sing, drown out, be, tin · To what, where: Python comedy sketch, Spam, everything, brand

This is a sentence of the lesson «Words that changed their meaning» of the language 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 (Spam, people), 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	"	"	PUNCT	_	2 Spam	punct
2	Spam	spam	NOUN	Number=Sing	7 comes	nsubj
3	"	"	PUNCT	_	2 Spam	punct
4	for	for	ADP	_	6 messages	case
5	junk	junk	NOUN	Number=Sing	6 messages	compound
6	messages	message	NOUN	Number=Plur	2 Spam	nmod
7	comes	come	VERB	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	root	root
8	from	from	ADP	_	14 sketch	case
9	a	a	DET	Definite=Ind PronType=Art	14 sketch	det
10	1970	1970	NUM	NumForm=Digit NumType=Card	12 Python	nummod
11	Monty	Monty	PROPN	Number=Sing	12 Python	compound
12	Python	python	NOUN	Number=Sing	14 sketch	compound
13	comedy	comedy	NOUN	Number=Sing	14 sketch	compound
14	sketch	sketch	NOUN	Number=Sing	7 comes	obl
15	in	in	ADP	_	16 which	case
16	which	which	PRON	PronType=Rel	18 sing	obl
17	people	people	NOUN	Number=Plur	18 sing	nsubj
18	sing	sing	VERB	Mood=Ind Number=Plur Person=3 Tense=Pres VerbForm=Fin	14 sketch	acl:relcl
19	"	"	PUNCT	_	20 Spam	punct
20	Spam	spam	NOUN	Number=Sing	18 sing	obj
21	"	"	PUNCT	_	20 Spam	punct
22	over	over	ADV	_	18 sing	advmod
23	and	and	CCONJ	_	24 over	cc
24	over	over	ADV	_	22 over	conj
25	,	,	PUNCT	_	26 drowning	punct
26	drowning	drown	VERB	Tense=Pres VerbForm=Part	18 sing	advcl
27	out	out	ADP	_	26 drowning	compound:prt
28	everything	everything	PRON	Number=Sing PronType=Tot	26 drowning	obj
29	else	else	ADV	_	28 everything	advmod
30	;	;	PUNCT	_	35 brand	punct
31	Spam	Spam	PROPN	Number=Sing	35 brand	nsubj
32	is	be	AUX	Mood=Ind Number=Sing Person=3 Tense=Pres VerbForm=Fin	35 brand	cop
33	also	also	ADV	_	35 brand	advmod
34	a	a	DET	Definite=Ind PronType=Art	35 brand	det
35	brand	brand	NOUN	Number=Sing	7 comes	parataxis
36	of	of	ADP	_	38 meat	case
37	tinned	tin	VERB	Tense=Past VerbForm=Part Voice=Pass	38 meat	amod
38	meat	meat	NOUN	Number=Sing	35 brand	nmod
39	.	.	PUNCT	_	7 comes	punct

Pragmatics

No stored speech act for this sentence.

#	verb	tense, mood	who	what, whom	where	other	roles by
1	come	present	Spam for junk messages		a Python comedy sketch		vn escape-51.1-1 «NP V PP.initial_location»: agent=Theme from sketch=Initial_Location
2	sing speech: express	present	people	Spam	a Python comedy sketch	over property	vn sound_emission-43.2 «PP.location V NP»: agent=Location spam=Theme
3	drown out	gerund	people not said here	everything			vn poison-42.2 «NP V NP»: agent=Agent everything=Patient
4	is a	present	Spam	a brand		of tinned meat	tree rules
5	tin	participle					vn pocket-9.10 «NP V NP.theme»: agent=Agent

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:language:038-words-that-changed-their-meaning.lesson:13.

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): R5-strong ×1, R7-rel-agree ×1, 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/language/38-words-that-changed-their-meaning/13/