Treebank Statistics: UD_French-FQB: Features: Number
This feature is universal.
It occurs with 2 different values: Plur
, Sing
.
13839 tokens (58%) have a non-empty value of Number
.
2981 types (71%) occur at least once with a non-empty value of Number
.
2417 lemmas (66%) occur at least once with a non-empty value of Number
.
The feature is used with 8 part-of-speech tags: DET (3813; 16% instances), NOUN (3734; 16% instances), AUX (1603; 7% instances), VERB (1584; 7% instances), ADJ (1444; 6% instances), PROPN (986; 4% instances), PRON (672; 3% instances), ADP (3; 0% instances).
DET
3813 DET tokens (99% of all DET
tokens) have a non-empty value of Number
.
The most frequent other feature values with which DET
and Number
co-occurred: PronType=Art (3132; 82%), Definite=Def (2759; 72%).
DET
tokens may have the following values of Number
:
Plur
(481; 13% of non-emptyNumber
): les, des, mes, quelles, de, ses, quels, vos, ces, d’Sing
(3332; 87% of non-emptyNumber
): le, la, l’, quelle, quel, un, une, mon, sa, maEMPTY
(21): la, l’, 17 451, quelqu’, un
Paradigm le | Sing | Plur |
---|---|---|
Gender=Masc | le, les | |
Gender=Fem | la | |
l' | les |
NOUN
3734 NOUN tokens (92% of all NOUN
tokens) have a non-empty value of Number
.
The most frequent other feature values with which NOUN
and Number
co-occurred: Gender=Masc (1969; 53%).
NOUN
tokens may have the following values of Number
:
Plur
(515; 14% of non-emptyNumber
): enfants, gens, habitants, impôts, lettres, pièces, revenus, Nations, années, automobilesSing
(3219; 86% of non-emptyNumber
): nom, année, ville, aide, président, état, lieu, espace, logement, filmEMPTY
(317): pays, prix, corps, temps, CNN, taux, avis, CPR, mois, fois
Paradigm nom | Sing | Plur |
---|---|---|
nom | noms |
AUX
1603 AUX tokens (94% of all AUX
tokens) have a non-empty value of Number
.
The most frequent other feature values with which AUX
and Number
co-occurred: VerbForm=Fin (1602; 100%), Mood=Ind (1594; 99%), Person=3 (1563; 98%), Tense=Pres (1390; 87%).
AUX
tokens may have the following values of Number
:
Plur
(124; 8% of non-emptyNumber
): sont, ont, étaient, avez, furent, êtes, soient, aientSing
(1479; 92% of non-emptyNumber
): est, a, était, fut, ai, suis, soit, ait, sera, faitEMPTY
(97): été, avoir, être, ayant, étant, faire
Paradigm être | Sing | Plur |
---|---|---|
Mood=Ind|Person=1|Tense=Pres | suis | |
Mood=Ind|Person=2|Tense=Pres | êtes | |
Mood=Ind|Person=3|Tense=Fut | sera | |
Mood=Ind|Person=3|Tense=Imp | était | étaient |
Mood=Ind|Person=3|Tense=Past | fut | furent |
Mood=Ind|Person=3|Tense=Pres | est | sont |
Mood=Sub|Person=3|Tense=Pres | soit | soient |
VERB
1584 VERB tokens (84% of all VERB
tokens) have a non-empty value of Number
.
The most frequent other feature values with which VERB
and Number
co-occurred: Voice=EMPTY (1343; 85%), Gender=EMPTY (833; 53%), VerbForm=Fin (833; 53%), Tense=Past (794; 50%).
VERB
tokens may have the following values of Number
:
Plur
(188; 12% of non-emptyNumber
): Nommez, trouvent, ont, devez, mangent, sont, vivaient, connus, jouent, proviennentSing
(1396; 88% of non-emptyNumber
): trouve, est, a, inventé, né, signifie, fait, puis, situé, eutEMPTY
(306): faire, obtenir, bénéficier, donner, payer, pris, avoir, déclarer, trouver, déduire
Paradigm avoir | Sing | Plur |
---|---|---|
Gender=Masc|Tense=Past|VerbForm=Part | eu | |
Mood=Ind|Person=1|Tense=Pres|VerbForm=Fin | ai | |
Mood=Ind|Person=3|Tense=Imp|VerbForm=Fin | avait | avaient |
Mood=Ind|Person=3|Tense=Past|VerbForm=Fin | eut | eurent |
Mood=Ind|Person=3|Tense=Pres|VerbForm=Fin | a | ont |
ADJ
1444 ADJ tokens (96% of all ADJ
tokens) have a non-empty value of Number
.
ADJ
tokens may have the following values of Number
:
Plur
(159; 11% of non-emptyNumber
): Quels, quelles, américains, olympiques, touristiques, Unies, acides, généraux, militaires, solairesSing
(1285; 89% of non-emptyNumber
): quel, quelle, premier, célèbre, première, américain, grand, autre, américaine, islamiqueEMPTY
(67): anglais, calleux, japonais, première, vieux, français, Junior, chinois, 19e, B1
Paradigm quel | Sing | Plur |
---|---|---|
Gender=Masc | quel | Quels |
Gender=Fem | quelle | quelles |
PROPN
986 PROPN tokens (47% of all PROPN
tokens) have a non-empty value of Number
.
The most frequent other feature values with which PROPN
and Number
co-occurred: Gender=Masc (673; 68%).
PROPN
tokens may have the following values of Number
:
Plur
(11; 1% of non-emptyNumber
): Philippines, Alpes, Bahamas, Fidji, Pays-Bas, PyrénéesSing
(975; 99% of non-emptyNumber
): Californie, Logan, Alaska, John, San, York, Charles, Kentucky, Marley, AustralieEMPTY
(1100): États-Unis, New, Terre, Soleil, Nobel, Lune, Titanic, Angeles, Bowl, C.
Number
seems to be lexical feature of PROPN
. 100% lemmas (501) occur only with one value of Number
.
PRON
672 PRON tokens (41% of all PRON
tokens) have a non-empty value of Number
.
The most frequent other feature values with which PRON
and Number
co-occurred: PronType=EMPTY (642; 96%), Person=3 (469; 70%).
PRON
tokens may have the following values of Number
:
Plur
(65; 10% of non-emptyNumber
): -ils, vous, -elles, -vous, les, ceux, elles, eux, lesquelles, nousSing
(607; 90% of non-emptyNumber
): -t-il, -il, -je, -t-elle, je, -t-on, -elle, -on, j’, ilEMPTY
(986): qui, qu’, -ce, se, que, s’, y, quoi, dont, Quels
Paradigm il | Sing | Plur |
---|---|---|
Gender=Masc|Person=3 | -t-il, -il, il | -ils |
Gender=Fem|Person=3 | -t-elle, -elle, elle | -elles, elles |
Person=1 | -je, je, j' | nous |
Person=2 | vous, -vous | |
Person=3 | -t-on, -on, on |
ADP
3 ADP tokens (0% of all ADP
tokens) have a non-empty value of Number
.
ADP
tokens may have the following values of Number
:
Sing
(3; 100% of non-emptyNumber
): deEMPTY
(2866): de, à, d’, en, dans, pour, sur, par, sous, comme
Relations with Agreement in Number
The 10 most frequent relations where parent and child node agree in Number
:
NOUN –[det]–> DET (2969; 93%),
NOUN –[amod]–> ADJ (823; 91%),
NOUN –[nmod]–> NOUN (768; 72%),
ADJ –[cop]–> AUX (545; 100%),
ADJ –[nsubj]–> NOUN (499; 95%),
VERB –[aux:tense]–> AUX (443; 89%),
VERB –[nsubj]–> NOUN (394; 87%),
VERB –[obj]–> NOUN (311; 53%),
VERB –[expl:subj]–> PRON (294; 93%),
VERB –[nsubj]–> PRON (249; 58%).