pronoun

This is a table of type pronoun and their frequencies. Use it to search & browse the list to learn more about your study carrel.

pronoun frequency
we35157
it16578
our12163
their7111
they5564
its5144
i5019
them2657
you1046
us1044
he819
itself588
his544
one502
my360
your340
themselves312
me278
her241
she229
him178
/leaveuntagged89
em83
http://www.bmw.com/com/en/insights/technology/connecteddrive/2013/a_to_z/index.html79
ours76
λ70
u51
de-51
http://dl.acm.org/citation.cfm?id=1855768.185577244
http://dx.doi.org/10.7717/peerj-cs.24#supplemental-information43
α41
n40
’s38
s35
ourselves33
y32
us-25
theirs21
mine21
toki20
himself16
ia15
ui15
http://dx.doi.org/10.7717/peerj-cs.10714
wr13
myself13
12
w′12
https://peerj.com12
http://dx.doi.org/10.7717/peerj-cs.8712
avail-12
kn11
ti11
yt11
mk10
mj10
in-10
hypoth-10
http://dx.doi.org/10.7717/peerj-cs.13410
hi-10
#10
di-9
http://dx.doi.org/10.7717/peerj-cs.1619
http://dx.doi.org/10.7717/peerj-cs.3158
http://creativecommons.org/licenses/by/4.0/8
herself8
δ∗c8
http://dx.doi.org/10.7717/peerj-cs.2607
''s7
bidirec-7
dj7
ex-7
f7
https://peerj.com/computer-science/7
p7
ya7
yourself7
π7
7
ng6
http://dx.doi.org/10.7717/peerj-cs.1336
http://dx.doi.org/10.7717/peerj-cs.1996
http://dx.doi.org/10.7717/peerj-cs.1236
o6
wh6
pe6
iu5
>5
as-5
composi-5
fi5
http://dx.doi.org/10.7717/peerj-cs.2345
orbisgis5
rn5
s132785
ta-5
ty5
v5
il-4
aj4
eq[log4
hav-4
http://dx.doi.org/10.7717/peerj-cs.1354
http://dx.doi.org/10.7717/peerj-cs.3514
webeup4
un-4
w4
y(x4
yy4
∈{14
t3
ce3
g1=13
http://dx.doi.org/10.7717/peerj-cs.2383
http://dx.doi.org/10.7717/peerj-cs.2723
k3
m3
n-3
oc-3
short-3
it-3
t′3
π̄r3
xi3
3
3
𝑓ℎ3
γm3
β3
αα3
yj3
http://dx.doi.org/10.7717/peerj-cs.3322
frame-2
g2
http://dx.doi.org/10.1109/tfuzz.2007.8963252
http://dx.doi.org/10.7717/peerj-cs.1462
http://dx.doi.org/10.7717/peerj-cs.1752
http://dx.doi.org/10.7717/peerj-cs.2312
http://dx.doi.org/10.7717/peerj-cs.2622
https://doi.org/10.1007/s10995-016-1955-72
http://dx.doi.org/10.7717/peerj-cs.3352
http://dx.doi.org/10.7717/peerj-cs.4182
http://spdbv.vital-it.ch/2
http://www.r-project.org/2
errorcodedwithoutna2
https://doi.org/10.1038/s41598-018-31780-02
https://doi.org/10.1210/jcem.84.6.57752
https://www.keycloak.org2
i-2
fig-42
eg2
entail-2
c112
ibm22
60–682
67–712
8there2
arxiv:1211.55902
au2
bg2
ci_onlinefunctioncode,’information’]/cit2
encod-2
cytoscape.js2
d112
do-2
e2
eds2
ei2
em-2
i2p2
l2
ie2
ŷiÞ2
y∗2
µt2
αrmit2
αβ2
γr2
θt2
κφ2
φk2
φt2
φz2
ψ2
‘s2
∆i2
−r2
uc2
im-2
2
2
ϕ+2
yt−12
qj2
x2
oi2
pc4id2
pg2
pl2
pos-2
oneself2
r12
t∗2
v3)=2
re2
uj2
nr2
thee2
ri2
http://dx.doi.org/10.1177/03063127145581361
http://dx.doi.org/10.1145/27321551
http://dx.doi.org/10.1145/27883971
http://dx.doi.org/10.1145/25385081
http://dx.doi.org/10.1148/radiol.20202009051
http://dx.doi.org/10.1159/0000528361
http://dx.doi.org/10.1177/0013164460020001041
http://dx.doi.org/10.1371/journal.pone.00554841
http://dx.doi.org/10.1177/00472875062915981
http://dx.doi.org/10.1177/01655515188081951
http://dx.doi.org/10.1177/0306312000300050011
http://dx.doi.org/10.1177/03063127050523591
http://dx.doi.org/10.1148/radiol.20202004901
http://dx.doi.org/10.1371/journal.pcbi.10026351
http://dx.doi.org/10.1177/10805699083258631
http://dx.doi.org/10.1177/10943420040460521
http://dx.doi.org/10.1177/14738716155719511
http://dx.doi.org/10.1348/1355325021683601
http://dx.doi.org/10.1371/journal.pbio.00000361
http://dx.doi.org/10.1371/journal.pbio.00203121
http://dx.doi.org/10.1371/journal.pbio.10022951
http://dx.doi.org/10.1371/journal.pcbi.10034601
http://dx.doi.org/10.1371/journal.pcbi.10035421
http://dx.doi.org/10.1371/journal.pmed.00201241
http://dx.doi.org/10.1371/journal.pone.00243571
http://dx.doi.org/10.1371/journal.pone.00249141
http://dx.doi.org/10.1371/journal.pone.00301351
http://dx.doi.org/10.1137/15m10505251
http://dx.doi.org/10.1142/s02183390060017261
http://dx.doi.org/10.1109/isda.2010.56870771
http://dx.doi.org/10.1137/1108457681
http://dx.doi.org/10.1109/jbhi.2018.28191821
http://dx.doi.org/10.1086/5218481
http://dx.doi.org/10.1089/106652702529355391
http://dx.doi.org/10.1093/nar/gkn7171
http://dx.doi.org/10.1093/nar/gku4101
http://dx.doi.org/10.1101/gad.20375111
http://dx.doi.org/10.1101/gr.196006.1151
http://dx.doi.org/10.1108/002204103106987341
http://dx.doi.org/10.1108/096852206106483731
http://dx.doi.org/10.1109/54.7858381
http://dx.doi.org/10.1109/icse.2005.15535521
http://dx.doi.org/10.1109/icse.2013.66066161
http://dx.doi.org/10.1109/infocom.2017.80569561
http://dx.doi.org/10.1371/journal.pone.00662121
http://dx.doi.org/10.1109/jiot.2017.27055601
http://dx.doi.org/10.1137/10371251
http://dx.doi.org/10.1109/jsac.2012.1202071
http://dx.doi.org/10.1109/lsp.2016.26033421
http://dx.doi.org/10.1109/pdcat.2013.401
http://dx.doi.org/10.1109/tase.2016.25267811
http://dx.doi.org/10.1109/tencon.2015.73728191
http://dx.doi.org/10.1109/tgrs.2015.23938571
http://dx.doi.org/10.1109/tgrs.2018.28286011
http://dx.doi.org/10.1109/tifs.2019.29245491
http://dx.doi.org/10.1109/tse.2005.741
http://dx.doi.org/10.1109/tse.2011.471
http://dx.doi.org/10.1126/science.11677421
http://dx.doi.org/10.1137/02030251
http://dx.doi.org/10.1137/1008002451
http://dx.doi.org/10.1371/journal.pone.00574101
http://dx.doi.org/10.2174/0929867107905144531
http://dx.doi.org/10.1371/journal.pone.00662131
http://dx.doi.org/10.7717/peerj-cs.367/fig-131
http://dx.doi.org/10.7717/peerj-cs.172/fig-21
http://dx.doi.org/10.7717/peerj-cs.1791
http://dx.doi.org/10.7717/peerj-cs.1821
http://dx.doi.org/10.7717/peerj-cs.2181
http://dx.doi.org/10.7717/peerj-cs.220#supplemental-information1
http://dx.doi.org/10.7717/peerj-cs.2211
http://dx.doi.org/10.7717/peerj-cs.2291
http://dx.doi.org/10.7717/peerj-cs.2541
http://dx.doi.org/10.7717/peerj-cs.2801
http://dx.doi.org/10.7717/peerj-cs.305/fig-21
http://dx.doi.org/10.7717/peerj-cs.3371
http://dx.doi.org/10.7717/peerj-cs.3401
http://dx.doi.org/10.7717/peerj-cs.3481
http://dx.doi.org/10.7717/peerj-cs.3761
http://dx.doi.org/10.7717/peerj-cs.1681
http://dx.doi.org/10.7717/peerj-cs.4131
http://dx.doi.org/10.7717/peerj-cs.439/fig-21
http://dx.doi.org/10.7717/peerj-cs.651
http://dx.doi.org/10.7717/peerj-cs.801
http://jsgg.chinajournal.net.cn/1
http://lcapy.elec.canterbury.ac.nz/1
http://mattmahoney.net/dc/textdata1
http://members.pingnet.ch/gamma/junit.htm1
http://nvlabs.github.io/cub/1
http://scholar.google1
http://sivareddy.in/1
http://statsmodels.sourceforge.net/devel/mixed_linear.html1
http://dx.doi.org/10.1080/7138271751
http://dx.doi.org/10.7717/peerj-cs.1691
http://dx.doi.org/10.7717/peerj-cs.1531
http://dx.doi.org/10.1371/journal.pone.00739571
http://dx.doi.org/10.1559/1523040027820084861
http://dx.doi.org/10.1371/journal.pone.00752521
http://dx.doi.org/10.1371/journal.pone.00793911
http://dx.doi.org/10.1371/journal.pone.00806351
http://dx.doi.org/10.1371/journal.pone.00843341
http://dx.doi.org/10.1371/journal.pone.00873571
http://dx.doi.org/10.1371/journal.pone.00903751
http://dx.doi.org/10.1371/journal.pone.01164771
http://dx.doi.org/10.1371/journal.pone.01317011
http://dx.doi.org/10.1371/journal.pone.01705271
http://dx.doi.org/10.1371/journal.pone.01954201
http://dx.doi.org/10.1371/journal.pone.01968041
http://dx.doi.org/10.1504/ijccbs.2012.0502951
http://dx.doi.org/10.1521/soco.1983.2.2.1221
http://dx.doi.org/10.1561/19000000061
http://dx.doi.org/10.7717/peerj-cs.1521
http://dx.doi.org/10.2112/jcoastres-d-11-00191.11
http://dx.doi.org/10.2196/188281
http://dx.doi.org/10.2307/23235371
http://dx.doi.org/10.2307/24093531
http://dx.doi.org/10.3233/isu-2010-06131
http://dx.doi.org/10.3390/e200503441
http://dx.doi.org/10.3390/s200309461
http://dx.doi.org/10.5220/00064499032903341
http://dx.doi.org/10.5281/zenodo.14781341
http://dx.doi.org/10.7326/0003-4819-116-10-7851
http://dx.doi.org/10.7717/peerj-cs.1021
http://dx.doi.org/10.7717/peerj-cs.1161
http://dx.doi.org/10.7717/peerj-cs.1451
http://dx.doi.org/10.1086/1607661
cq3.31
http://dx.doi.org/10.1080/106158007017404571
exponen-1
di1
dij1
dj01
dk1
dmo=1
dy-1
d′1
e-1
ei-1
emotions1501
ep1
eu1
examples.41
ex̂∼px̂1
dev=’hda1
fa1
figure.51
findings3661
fizzbuzz1
follow-1
freebsd1
fx1
gómez1
gs1
h1
h1211
h51
ha1
developers.31
detected4041
hasvariant1
b1
0[0[0[0[0[0[0[11
3(39):851–8761
4/191
6.4b1
6https://github.com/edinburghnlp/nematus1
a=(block2(1,1)/block1(1,1))-11
acc:-1
accountabil-1
across1891
af-1
analysis(pca1
appropri-1
a′1
bleu↑1
dbm1
bmp8b1
booknlp1
1
ci_onlinefunctioncode,’download’]/cit1
cluster-1
complexity-1
conll-20081
http://web.informatik.uni-mannheim.de/ld4ie2016/ld4ie2016/overview.html1
cq3.51
cx1
cÞðxÞ1
d(4,2)2d1
data.61
ha-1
health-1
http://dx.doi.org/10.1080/104473108022057761
http://dx.doi.org/10.1021/ja044087q1
http://dx.doi.org/10.1016/j.im.2020.1033161
http://dx.doi.org/10.1016/j.image.2015.02.0041
http://dx.doi.org/10.1016/j.isprsjprs.2016.01.0111
http://dx.doi.org/10.1016/j.jnca.2018.06.0041
http://dx.doi.org/10.1016/j.marpol.2012.05.0381
http://dx.doi.org/10.1016/j.mehy.2020.1097611
http://dx.doi.org/10.1016/j.molcel.2018.03.0041
http://dx.doi.org/10.1016/j.neucom.2013.10.0361
http://dx.doi.org/10.1016/j.neuroimage.2010.11.0041
http://dx.doi.org/10.1016/j.patrec.2006.10.0081
http://dx.doi.org/10.1016/j.physletb.2012.08.0201
http://dx.doi.org/10.1016/s0048-7333(99)00031-11
http://dx.doi.org/10.1016/s1574-1400(07)03004-61
http://dx.doi.org/10.1023/a:10111875008631
http://dx.doi.org/10.1016/j.eswa.2011.03.0301
http://dx.doi.org/10.1038/350416821
http://dx.doi.org/10.1038/nature144501
http://dx.doi.org/10.1038/sj.bjc.66017461
http://dx.doi.org/10.1057/palgrave.jibs.84002221
http://dx.doi.org/10.1057/palgrave.jibs.84910291
http://dx.doi.org/10.1057/palgrave.jors.26020681
http://dx.doi.org/10.1080/014311603100015990061
http://dx.doi.org/10.1080/019697273085460461
http://dx.doi.org/10.1080/026937995089020221
http://dx.doi.org/10.1080/02699931.2010.5151511
http://dx.doi.org/10.1080/026999392084110681
http://dx.doi.org/10.1080/030521500089409111
http://dx.doi.org/10.1080/0954009961168111
http://dx.doi.org/10.1016/j.ijhcs.2013.09.0061
http://dx.doi.org/10.1016/j.engappai.2019.01.0061
hershey1
http://dritchie.github.io/quicksand/1
hg1
hi1
hm1
hm1451
hsa051651
ht;θsub1
http://apollo.gforge.inria.fr/1
http://code.google.com/p/google-caja/1
http://d.wanfangdata.com.cn/nstlqk_nstl_qk.aspx1
http://dcol.sourceforge.net/1
http://dl.acm.org/citation.cfm?id=18557681
http://dl.acm.org/citation.cfm?id=2969033.29691911
http://dondi.github.io/grnsight1
http://dx.doi.org/10.1002/minf.2012800041
http://dx.doi.org/10.1016/j.ejor.2014.01.0531
http://dx.doi.org/10.1002/prot.242441
http://dx.doi.org/10.1002/pssc.2014001901
http://dx.doi.org/10.1007/3-540-45441-1_41
http://dx.doi.org/10.1007/3-540-45510-8_11
http://dx.doi.org/10.1007/bf030244071
http://dx.doi.org/10.1016/0020-0190(87)90114-11
http://dx.doi.org/10.1016/0021-9991(76)90078-41
http://dx.doi.org/10.1016/0031-8914(73)90144-41
http://dx.doi.org/10.1016/0040-5809(72)90035-41
http://dx.doi.org/10.1016/0167-8655(89)90004-41
http://dx.doi.org/10.1016/0306-4530(94)90013-21
http://dx.doi.org/10.1016/j.cell.2013.08.0211
http://dx.doi.org/10.1016/j.comnet.2010.05.0121
http://universaldependencies.org1
ne1
http://www-nlp.stanford.edu/software/sempre/1
wa1
ts1
1
u+1
udc.1
ul1
ul-1
uncer-1
uv1
u∞,u11
vc1
vertex(v1
vh1
w3techs1
we3901
tp/1
well-1
whether1
wj1
wk1
wordclouds1
wpgp1
wrong1
wrr1
wsc’971
www.rcsb.org/pdb/.1
www.scb1
wz1
xt1
treact1
tp1
y=8β+e1
semeval2014-r1
ql1
r(17)=−0.1831
r21
ra-1
ramitchellnz@1
reasonable.31
resnet-341
resnet-501
rn×d1
rq1.11
rq1.21
sc13601.doc.htm1
schleicher@dsg.tuwien.ac.at1
sho1
towbin_19791
simpli-1
sp500_model1
system.11
s≥1
t(d1
tgfβ21
there1
they2171
three.js1
tn1
to-1
top11
toppic1
x̄e1
yk1
http://www.anacli.it/website/index.php?&pagid=2499&sessione=1
∀ifj(x)−fi(x)≥01
πliftcm1
σc1
σl1
φ1
φd1
ϑ1
ϑj1
‖ζ̄‖21
1
1
1
•`iν1
′×11
−n1
ξ1
−z1
∗,s1
∣∣aij∣∣|b|×|n|=(ab)−1an1
1
cosc1
1
1
xg1
1
𝐷y31
𝐽1
𝑎𝑗−11
𝑘1
πk1
μc1
ys1
ˆ1
yto1
1
ŷij1
yα∼yi1
y∈1
zr1
|i|1
|t|1
|w|1
|{d1
É1
ðt1
úÎ1
Θ1
λx.∃y.blue(x1
αi1
αj1
αm1
α∗1
β0,β11
γ1
γ′1
δ(αt(x)φ1
η1
ηk1
θ1
ι1
λk1
q.parent1
pyeeg1
proba-1
https://github.com/rgacesa/toxclassifier/tree/master/datasets/toxclassifier_calibration_test1
https://egg.wustl.edu/d/galgal4/refgene.gz1
https://github.com/benedekrozemberczki/1
https://github.com/blog/1724-10-1
https://github.com/cs-swansea/mel/1
https://github.com/dandynaufaldi/1
https://github.com/essepuntato/rash/blob/master/xslt/from-odt.xsl1
https://github.com/ffnlp/sethr1
https://github.com/idiap/1
https://github.com/kalimu/genderizer1
https://github.com/kelwinfc/cervical-cancer-screening/tree/master/risk-factors/data1
https://github.com/michalrozenwald/hi-chip-ml1
https://github.com/pellinglab/minerscope_and_twitterscope1
https://github.com/pymc-devs/pymc31
https://github.com/solid/1
https://doi.org/10.7717/peerjcs.259/fig-21
https://gotwarlost.github.io/istanbul/1
https://guides.github1
https://ieeexplore.ieee.org/xplore/1
https://in.finance.yahoo.com/1
https://raw.githubusercontent.com/oreillymedia/htmlbook/master/schema/htmlbook.xsd1
https://revolution.kunbus.com/1
https://ruby-doc.org/stdlib-2.0.0/libdoc/webrick/rdoc/webrick.html1
https://scholar.google.com/1
https://www.epa.ie/pubs/advice/noisemapping/epa%20guidance%20note%20for%20strategic%20noise%20mapping%20(version%202).pdf1
https://www.ncbi.nlm1
https://www.polymer-project.org/1
https://www.theguardian.com/books/2003/oct/12/features.fiction1
https://www.w3.org/tr/rdf-syntax-grammar/1
https://doi.org/10.7717/peerjcs.285/fig-11
https://doi.org/10.7717/peerjcs.135/fig-31
preserved.81
https://archive.ics.uci.edu/ml/datasets/real+estate+valuation+data+set1
http://www.creativecommons.org/licenses/by/4.0/1
http://www.daimler.com/dccom/0-5-1210218-1-1210321-1-0-0-1210228-0-0-135-0-0-0-0-0-0-0-0.html1
http://www.easy-imp.eu/1
http://www.eetimes1
http://www.ics.uci.edu/~mlearn/mlrepository1
http://www.jmlr.org/papers/v12/collobert11a.html1
http://www.oed.com/1
http://www.omg.org/spec/bpmn/2.0/1
http://www.oracle.com/technetwork/articles/javase/index-140168.html1
http://www.sfb11021
http://www.ssoar.info/ssoar/files/2011/393/zuma-1
http://www.w3.org/tr/prov-o/.1
http://xml.coverpages1
https://code.google.com/p/chromium/wiki/chromiumbrowservsgooglechrome1
https://doi.org/10.4238/gmr160194791
https://codemeta.github.io1
https://cran.r-project.org/package=dosnow1
https://cran.r-project.org/package=rcppparallel1
https://developer.apple.com/metal/1
https://doi.org/10.1002/jbmr.16421
https://doi.org/10.1007/s11306-011-0353-91
https://doi.org/10.1016/j.mce.2016.03.0141
https://doi.org/10.1089/thy.2012.02281
https://doi.org/10.1089/thy.2015.00201
https://doi.org/10.1142/s0217751x164200451
https://doi.org/10.1186/s40064-015-0980-01
https://doi.org/10.1210/jcem-1
https://doi.org/10.3904/kjim.1997.12.1.891
https://www.w3.org/tr/skos-reference/1
https://www.webkit.org/perf/sunspider-1.0.2/sunspider-1.0.2/driver.html1
hx1
ogc1
metrics;51
mul1
mul-1
multi-1
m′1
na1
nc-1
ni1
nips4bplus1
nu-1h1
nxnaranana1
o(d1
occ1
oo1
hyperlinks1
op_intrpt_schedule_self1
osl-3.01
oð1Þ1
p(θi|β)]×1
pa-1
peerjcs.1611
pi,1001
pn1
pr1
pre1
pre-4461
precision=1
preference)—i1
mel1
mb1
mathe-1
margin1
hyvönen1
i(a)i(b)(11
icfhr1
id=13222461
idh3b1
ii1
ing1
inmic091
insight-1
interac-1
ipv6,they1
ir|y|×dj1
issue):d917–d9211
item.21
iv1
i¼11
j1
j.compeleceng.2011.07.0121
jiis.0000029668.88665.1a1
jointbilateralfilter(gt1
ku1
1
ls1
ls-`2,11
l∗m1
m)do1
mailto:m.musa@psau.edu.sa1
+3.31