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a
abisa
afa
ah
ai
am
ama
an
ana
anababatun
anayabin
anun
ao
at
ata
atube
au
auman
ayu
babin
bai
bairi
baise
baitumatum
boro
boun
bowabow
ef
ema
en
eo
etei
fair
gagamin
gewas
gewasin
god
hai
hairi
hi
hina
hio
i
imaim
imih
imon
in
isa
isah
isan
it
iti
itin
itinin
itube
iyab
jesu
kakafih
kakafin
kakafiyin
keriso
kok
kwa
kwana
kwanekwan
ma
maiye
maiyow
mar
men
merar
mi
na
naatu
nama
nati
o
ob
orot
regah
sabuw
saise
sawar
sinaf
ta
tafaram
tur
turobe
tutufin
ub
veya
wan
wanatowan
wanawanan
wanawananamaim
yait
yawas
aga
agwɨ
aiwɨ
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target-stopwords

Per-language function-word lists, induced from that language's own Bible text — frequency + dispersion (the classic corpus-linguistics stopword-induction recipe), then RESCUED against the language's own alignment output + a source-anchored content signal so genuinely frequent CONTENT words ("God", "Lord") are never dropped. See the lexeme-aligner's target_stopwords.py for the mechanism: a candidate is rescued if it concentrates most of its aligned mass on one prior-pack content lexeme (≥40% share) — a true function word instead scatters thinly across dozens of distinct lexemes.

Many of the covered languages have no existing curated stopword list anywhere — this is a reusable resource for search, IR, topic modeling, or any NLP task needing one in these languages.

CC0-1.0 — derived word-frequency statistics, no source text redistributed. See manifest.json for per-language stats + content hashes.

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