nsubj

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`nsubj`: nominal subject

nsubj marks noun phrases that are the subject of a finite clause. The head of nsubj is typically a verb, but can be another noun phrase or adjective, for example in copula constructions.



  
    input
    brat
    info
  
Die Frau schläft . \n The woman sleeps .
nsubj(schläft, Frau)
{
    "text": "Die Frau schläft . \n The woman sleeps . ",
    "entities": [
        [ "embedded-1-T1", "token", [ [ 0, 3 ] ] ],
        [ "embedded-1-T2", "token", [ [ 4, 8 ] ] ],
        [ "embedded-1-T3", "token", [ [ 9, 16 ] ] ],
        [ "embedded-1-T4", "token", [ [ 17, 18 ] ] ],
        [ "embedded-1-T6", "token", [ [ 21, 24 ] ] ],
        [ "embedded-1-T7", "token", [ [ 25, 30 ] ] ],
        [ "embedded-1-T8", "token", [ [ 31, 37 ] ] ],
        [ "embedded-1-T9", "token", [ [ 38, 39 ] ] ]
    ],
    "relations": [
        [ "embedded-1-R1", "nsubj", [ [ "arg1", "embedded-1-T3" ], [ "arg2", "embedded-1-T2" ] ] ]
    ],
    "attributes": [],
    "error": false,
    "sentlabels": [ "1" ]
}



  
    input
    brat
    info
  
Die Frau ist Ärztin . \n The woman is a doctor .
nsubj(Ärztin, Frau)
{
    "text": "Die Frau ist Ärztin . \n The woman is a doctor . ",
    "entities": [
        [ "embedded-2-T1", "token", [ [ 0, 3 ] ] ],
        [ "embedded-2-T2", "token", [ [ 4, 8 ] ] ],
        [ "embedded-2-T3", "token", [ [ 9, 12 ] ] ],
        [ "embedded-2-T4", "token", [ [ 13, 19 ] ] ],
        [ "embedded-2-T5", "token", [ [ 20, 21 ] ] ],
        [ "embedded-2-T7", "token", [ [ 24, 27 ] ] ],
        [ "embedded-2-T8", "token", [ [ 28, 33 ] ] ],
        [ "embedded-2-T9", "token", [ [ 34, 36 ] ] ],
        [ "embedded-2-T10", "token", [ [ 37, 38 ] ] ],
        [ "embedded-2-T11", "token", [ [ 39, 45 ] ] ],
        [ "embedded-2-T12", "token", [ [ 46, 47 ] ] ]
    ],
    "relations": [
        [ "embedded-2-R1", "nsubj", [ [ "arg1", "embedded-2-T4" ], [ "arg2", "embedded-2-T2" ] ] ]
    ],
    "attributes": [],
    "error": false,
    "sentlabels": [ "2" ]
}



  
    input
    brat
    info
  
Die Frau ist müde . \n The woman is tired .
nsubj(müde, Frau)
{
    "text": "Die Frau ist müde . \n The woman is tired . ",
    "entities": [
        [ "embedded-3-T1", "token", [ [ 0, 3 ] ] ],
        [ "embedded-3-T2", "token", [ [ 4, 8 ] ] ],
        [ "embedded-3-T3", "token", [ [ 9, 12 ] ] ],
        [ "embedded-3-T4", "token", [ [ 13, 17 ] ] ],
        [ "embedded-3-T5", "token", [ [ 18, 19 ] ] ],
        [ "embedded-3-T7", "token", [ [ 22, 25 ] ] ],
        [ "embedded-3-T8", "token", [ [ 26, 31 ] ] ],
        [ "embedded-3-T9", "token", [ [ 32, 34 ] ] ],
        [ "embedded-3-T10", "token", [ [ 35, 40 ] ] ],
        [ "embedded-3-T11", "token", [ [ 41, 42 ] ] ]
    ],
    "relations": [
        [ "embedded-3-R1", "nsubj", [ [ "arg1", "embedded-3-T4" ], [ "arg2", "embedded-3-T2" ] ] ]
    ],
    "attributes": [],
    "error": false,
    "sentlabels": [ "3" ]
}

Treebank Statistics (UD_German)

This relation is universal.

17703 nodes (6%) are attached to their parents as nsubj.

13325 instances of nsubj (75%) are right-to-left (child precedes parent). Average distance between parent and child is 4.22770151951647.

The following 57 pairs of parts of speech are connected with nsubj: VERB-NOUN (5636; 32% instances), VERB-PRON (5433; 31% instances), VERB-PROPN (2108; 12% instances), ADJ-NOUN (1302; 7% instances), NOUN-NOUN (733; 4% instances), NOUN-PROPN (609; 3% instances), NOUN-PRON (566; 3% instances), ADJ-PRON (519; 3% instances), ADJ-PROPN (175; 1% instances), PROPN-NOUN (140; 1% instances), ADP-NOUN (74; 0% instances), PROPN-PROPN (67; 0% instances), ADP-PRON (46; 0% instances), PROPN-PRON (38; 0% instances), PRON-PRON (28; 0% instances), ADP-PROPN (25; 0% instances), PRON-NOUN (22; 0% instances), PRON-PROPN (20; 0% instances), VERB-NUM (17; 0% instances), NUM-NOUN (15; 0% instances), VERB-DET (15; 0% instances), ADV-NOUN (13; 0% instances), VERB-ADJ (13; 0% instances), AUX-PRON (9; 0% instances), NOUN-DET (9; 0% instances), ADV-PRON (8; 0% instances), AUX-NOUN (6; 0% instances), VERB-X (5; 0% instances), X-PRON (5; 0% instances), NUM-PRON (4; 0% instances), ADJ-DET (3; 0% instances), ADJ-VERB (3; 0% instances), CONJ-PRON (3; 0% instances), NOUN-NUM (3; 0% instances), VERB-SCONJ (3; 0% instances), VERB-VERB (3; 0% instances), ADJ-ADJ (2; 0% instances), ADJ-NUM (2; 0% instances), PART-PRON (2; 0% instances), X-NOUN (2; 0% instances), ADJ-PART (1; 0% instances), ADJ-X (1; 0% instances), ADV-PROPN (1; 0% instances), AUX-PROPN (1; 0% instances), CONJ-NOUN (1; 0% instances), DET-NOUN (1; 0% instances), NOUN-ADJ (1; 0% instances), NOUN-ADP (1; 0% instances), NOUN-VERB (1; 0% instances), NOUN-X (1; 0% instances), PART-NOUN (1; 0% instances), PUNCT-PRON (1; 0% instances), SCONJ-NOUN (1; 0% instances), SCONJ-PRON (1; 0% instances), VERB-ADP (1; 0% instances), VERB-ADV (1; 0% instances), VERB-PART (1; 0% instances).

# visual-style 7	bgColor:blue
# visual-style 7	fgColor:white
# visual-style 8	bgColor:blue
# visual-style 8	fgColor:white
# visual-style 8 7 nsubj	color:blue
1	Knapp	knapp	ADV	ADJD	_	2	advmod	_	_
2	20	20	NUM	CARD	NumType=Card	3	nummod	_	_
3	Euro	Euro	PROPN	NN	Case=Acc|Number=Sing	8	dobj	_	_
4	hat	haben	AUX	VAFIN	Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin	8	aux	_	_
5	je	je	ADV	APPR	_	8	advmod	_	_
6	ein	ein	DET	ART	Case=Nom|Definite=Ind|Gender=Masc,Neut|Number=Sing|PronType=Art	7	det	_	_
7	Teil	Teil	NOUN	NN	Case=Nom|Gender=Masc,Neut|Number=Sing	8	nsubj	_	_
8	gekostet	kosten	VERB	VVPP	VerbForm=Part	0	root	_	_
9	.	.	PUNCT	$.	_	8	punct	_	_

# 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	Ich	ich	PRON	PPER	Case=Nom|Number=Sing|Person=1|PronType=Prs	2	nsubj	_	_
2	hatte	haben	VERB	VAFIN	Mood=Ind|Number=Sing|Person=1|Tense=Past|VerbForm=Fin	0	root	_	_
3	Gelegenheit	Gelegenheit	NOUN	NN	Case=Acc|Gender=Fem|Number=Sing	2	dobj	_	_
4	eines	ein	DET	ART	Case=Acc|Definite=Ind|Number=Plur|PronType=Art	6	det	_	_
5	seiner	sein	PRON	PPOSAT	Case=Acc|Gender[psor]=Masc,Neut|Number=Plur|Number[psor]=Sing|Person=3|Poss=Yes|PronType=Prs	6	det:poss	_	_
6	Seminare	Seminar	NOUN	NN	Case=Acc|Number=Plur	8	dobj	_	_
7	zu	zu	PART	PTKZU	_	8	mark	_	_
8	besuchen	besuchen	VERB	VVINF	VerbForm=Inf	3	xcomp	_	_
9	.	.	PUNCT	$.	_	2	punct	_	_

# visual-style 8	bgColor:blue
# visual-style 8	fgColor:white
# visual-style 4	bgColor:blue
# visual-style 4	fgColor:white
# visual-style 4 8 nsubj	color:blue
1	Bei	bei	ADP	APPR	_	3	case	_	_
2	dem	der	DET	ART	Case=Dat|Definite=Def|Gender=Masc,Neut|Number=Sing|PronType=Art	3	det	_	_
3	Besuch	Besuch	NOUN	NN	Case=Dat|Gender=Masc,Neut|Number=Sing	4	nmod	_	_
4	war	sein	VERB	VAFIN	Mood=Ind|Number=Sing|Person=3|Tense=Past|VerbForm=Fin	0	root	_	_
5	dann	dann	ADV	ADV	_	6	advmod	_	_
6	schließlich	schließlich	ADV	ADV	_	4	advmod	_	_
7	keine	kein	PRON	PIAT	PronType=Neg	8	neg	_	_
8	Vespa	Vespa	PROPN	NN	Case=Nom|Number=Sing	4	nsubj	_	_
9	mehr	mehr	ADV	ADV	_	4	advmod	_	_
10	da	da	ADV	PTKVZ	_	4	compound:prt	_	_
11	.	.	PUNCT	$.	_	4	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_German)

`nsubj`: nominal subject