nsubj

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`nsubj`: nominal subject

The dependency type nsubj marks nominal subjects of a clause. Subjects are direct dependents of the main predicate of the clause, which may be a verb, noun or adjective.



  
    input
    brat
    info
  
Le plus jeune participant a gagné la course . \n The youngest participant won the race .
nsubj(gagné, participant)
{
    "text": "Le plus jeune participant a gagné la course . \n The youngest participant won the race . ",
    "entities": [
        [ "embedded-1-T1", "token", [ [ 0, 2 ] ] ],
        [ "embedded-1-T2", "token", [ [ 3, 7 ] ] ],
        [ "embedded-1-T3", "token", [ [ 8, 13 ] ] ],
        [ "embedded-1-T4", "token", [ [ 14, 25 ] ] ],
        [ "embedded-1-T5", "token", [ [ 26, 27 ] ] ],
        [ "embedded-1-T6", "token", [ [ 28, 33 ] ] ],
        [ "embedded-1-T7", "token", [ [ 34, 36 ] ] ],
        [ "embedded-1-T8", "token", [ [ 37, 43 ] ] ],
        [ "embedded-1-T9", "token", [ [ 44, 45 ] ] ],
        [ "embedded-1-T11", "token", [ [ 48, 51 ] ] ],
        [ "embedded-1-T12", "token", [ [ 52, 60 ] ] ],
        [ "embedded-1-T13", "token", [ [ 61, 72 ] ] ],
        [ "embedded-1-T14", "token", [ [ 73, 76 ] ] ],
        [ "embedded-1-T15", "token", [ [ 77, 80 ] ] ],
        [ "embedded-1-T16", "token", [ [ 81, 85 ] ] ],
        [ "embedded-1-T17", "token", [ [ 86, 87 ] ] ]
    ],
    "relations": [
        [ "embedded-1-R1", "nsubj", [ [ "arg1", "embedded-1-T6" ], [ "arg2", "embedded-1-T4" ] ] ]
    ],
    "attributes": [],
    "error": false,
    "sentlabels": [ "1" ]
}



  
    input
    brat
    info
  
Papa est malade . \n Dad is sick .
nsubj(malade, Papa)
{
    "text": "Papa est malade . \n Dad is sick . ",
    "entities": [
        [ "embedded-2-T1", "token", [ [ 0, 4 ] ] ],
        [ "embedded-2-T2", "token", [ [ 5, 8 ] ] ],
        [ "embedded-2-T3", "token", [ [ 9, 15 ] ] ],
        [ "embedded-2-T4", "token", [ [ 16, 17 ] ] ],
        [ "embedded-2-T6", "token", [ [ 20, 23 ] ] ],
        [ "embedded-2-T7", "token", [ [ 24, 26 ] ] ],
        [ "embedded-2-T8", "token", [ [ 27, 31 ] ] ],
        [ "embedded-2-T9", "token", [ [ 32, 33 ] ] ]
    ],
    "relations": [
        [ "embedded-2-R1", "nsubj", [ [ "arg1", "embedded-2-T3" ], [ "arg2", "embedded-2-T1" ] ] ]
    ],
    "attributes": [],
    "error": false,
    "sentlabels": [ "2" ]
}



  
    input
    brat
    info
  
Maman est une bonne cuisinière . \n Mom is a good cook .
nsubj(cuisinière, Maman)
{
    "text": "Maman est une bonne cuisinière . \n Mom is a good cook . ",
    "entities": [
        [ "embedded-3-T1", "token", [ [ 0, 5 ] ] ],
        [ "embedded-3-T2", "token", [ [ 6, 9 ] ] ],
        [ "embedded-3-T3", "token", [ [ 10, 13 ] ] ],
        [ "embedded-3-T4", "token", [ [ 14, 19 ] ] ],
        [ "embedded-3-T5", "token", [ [ 20, 30 ] ] ],
        [ "embedded-3-T6", "token", [ [ 31, 32 ] ] ],
        [ "embedded-3-T8", "token", [ [ 35, 38 ] ] ],
        [ "embedded-3-T9", "token", [ [ 39, 41 ] ] ],
        [ "embedded-3-T10", "token", [ [ 42, 43 ] ] ],
        [ "embedded-3-T11", "token", [ [ 44, 48 ] ] ],
        [ "embedded-3-T12", "token", [ [ 49, 53 ] ] ],
        [ "embedded-3-T13", "token", [ [ 54, 55 ] ] ]
    ],
    "relations": [
        [ "embedded-3-R1", "nsubj", [ [ "arg1", "embedded-3-T5" ], [ "arg2", "embedded-3-T1" ] ] ]
    ],
    "attributes": [],
    "error": false,
    "sentlabels": [ "3" ]
}

Treebank Statistics (UD_French)

This relation is universal.

21302 nodes (5%) are attached to their parents as nsubj.

20680 instances of nsubj (97%) are right-to-left (child precedes parent). Average distance between parent and child is 3.66111163271054.

The following 59 pairs of parts of speech are connected with nsubj: VERB-PRON (7952; 37% instances), VERB-NOUN (5770; 27% instances), VERB-PROPN (2209; 10% instances), NOUN-PROPN (1096; 5% instances), ADJ-NOUN (1022; 5% instances), NOUN-NOUN (1015; 5% instances), NOUN-PRON (920; 4% instances), ADJ-PRON (487; 2% instances), PRON-NOUN (112; 1% instances), PROPN-NOUN (103; 0% instances), PRON-PRON (78; 0% instances), PROPN-PRON (75; 0% instances), ADJ-PROPN (72; 0% instances), VERB-ADV (54; 0% instances), PRON-PROPN (37; 0% instances), ADV-PRON (30; 0% instances), VERB-SYM (26; 0% instances), PROPN-PROPN (25; 0% instances), VERB-NUM (25; 0% instances), VERB-X (24; 0% instances), NUM-PRON (20; 0% instances), NUM-NOUN (19; 0% instances), ADV-NOUN (11; 0% instances), NOUN-ADV (11; 0% instances), SYM-NOUN (11; 0% instances), NOUN-X (8; 0% instances), ADJ-ADV (7; 0% instances), AUX-NOUN (7; 0% instances), VERB-PART (7; 0% instances), NOUN-NUM (6; 0% instances), VERB-ADJ (6; 0% instances), ADP-PRON (5; 0% instances), NOUN-SYM (5; 0% instances), NUM-PROPN (5; 0% instances), ADP-NOUN (4; 0% instances), ADV-PROPN (4; 0% instances), AUX-PRON (4; 0% instances), X-NOUN (3; 0% instances), ADJ-NUM (2; 0% instances), ADJ-SYM (2; 0% instances), AUX-PROPN (2; 0% instances), SCONJ-NOUN (2; 0% instances), X-PRON (2; 0% instances), X-X (2; 0% instances), ADP-PROPN (1; 0% instances), ADV-NUM (1; 0% instances), INTJ-NOUN (1; 0% instances), INTJ-PROPN (1; 0% instances), NOUN-ADJ (1; 0% instances), NOUN-AUX (1; 0% instances), NOUN-PART (1; 0% instances), PRON-X (1; 0% instances), PROPN-VERB (1; 0% instances), PROPN-X (1; 0% instances), PUNCT-PRON (1; 0% instances), SYM-PRON (1; 0% instances), SYM-PROPN (1; 0% instances), VERB-VERB (1; 0% instances), X-PROPN (1; 0% instances).

# visual-style 1	bgColor:blue
# visual-style 1	fgColor:white
# visual-style 2	bgColor:blue
# visual-style 2	fgColor:white
# visual-style 2 1 nsubj	color:blue
1	Elle	_	PRON	_	_	2	nsubj	_	_
2	lutte	_	VERB	_	_	0	root	_	_
3	pour	_	ADP	_	_	4	mark	_	_
4	échapper	_	VERB	_	_	2	advcl	_	_
5	à	_	ADP	_	_	7	case	_	_
6	les	_	DET	_	_	7	det	_	_
7	tueurs	_	NOUN	_	_	4	nmod	_	_
8	à	_	ADP	_	_	10	case	_	_
9	ses	_	DET	_	_	10	nmod:poss	_	_
10	trousses	_	NOUN	_	_	4	nmod	_	_
11	.	_	PUNCT	_	_	2	punct	_	_

# visual-style 2	bgColor:blue
# visual-style 2	fgColor:white
# visual-style 8	bgColor:blue
# visual-style 8	fgColor:white
# visual-style 8 2 nsubj	color:blue
1	Les	_	DET	_	_	2	det	_	_
2	compagnies	_	NOUN	_	_	8	nsubj	_	_
3	aériennes	_	ADJ	_	_	2	amod	_	_
4	à	_	ADP	_	_	6	case	_	_
5	bas	_	ADJ	_	_	6	amod	_	_
6	coût	_	NOUN	_	_	2	nmod	_	_
7	ne	_	PART	_	_	8	neg	_	_
8	connaissent	_	VERB	_	_	0	root	_	_
9	pas	_	ADV	_	_	8	neg	_	_
10	la	_	DET	_	_	11	det	_	_
11	crise	_	NOUN	_	_	8	dobj	_	_
12	.	_	PUNCT	_	_	8	punct	_	_

# visual-style 1	bgColor:blue
# visual-style 1	fgColor:white
# visual-style 3	bgColor:blue
# visual-style 3	fgColor:white
# visual-style 3 1 nsubj	color:blue
1	Dieu	_	PROPN	_	_	3	nsubj	_	_
2	veuille	_	AUX	_	_	3	aux	_	_
3	avoir	_	VERB	_	_	0	root	_	_
4	en	_	ADP	_	_	5	case	_	_
5	paix	_	NOUN	_	_	3	nmod	_	_
6	ton	_	DET	_	_	7	nmod:poss	_	_
7	âme	_	NOUN	_	_	3	dobj	_	_
8	.	_	PUNCT	_	_	3	punct	_	_

nsubj in other languages: [bg] [cs] [de] [el] [en] [es] [eu] [fa] [fi] [fr] [ga] [he] [hu] [it] [ja] [ko] [sv] [u]

nsubj: nominal subject

Treebank Statistics (UD_French)

`nsubj`: nominal subject