African-African Parallel Sentences
Collection
Collection of sentence pairs or parallel corpus across African Languages for machine translation.
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703 items
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Updated
Dataset Viewer
score
float32 1.04
1.25
| Akan
stringlengths 11
478
| Swati
stringlengths 10
449
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|---|---|---|
1.246498 |
Bɛ mua-la bɛ-ba-die ɔ ne.
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Kufanele nimlalele.
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1.246219 |
Fafiri - ɛyɛ mmrɛ saa anaa?
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Kucolelwa- ngabe kumalula kanjalo nje?
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1.244783 |
Ebɛnadze ntsi na Jesus baa asaase do?
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Kungani Jesu eta emhlabeni?
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1.243573 |
Na ɛnee bɛngola bɛnnwu sɛnzɛne ne wɔ alehyenlɛ nu anzɛɛ nwɔlɔra ne mɔ wɔ nɔɔzo.
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Lase lima ilanga, nenyanga yahlala,
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1.243469 |
Mɔɔ bɛnwunle ɛzoanvolɛ ne mɔ la, bɛhanle mɔɔ ɛzi la bɛhilele bɛ.
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Kwatsi nabambona belusi, babatjela loko lababekuve ngengilosi ngalomntfwana; bonkhe labakuva loko bamangala ngalababekutjelwe belusi.
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1.242131 |
Sԑ nsԑm yi fa woho a, ԑnde hu sԑ ԑyԑ wo nko.
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Nangabe ikhona, banyenti labafana nawe.
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1.241147 |
Ɔnva nwo adwenle biala mɔɔ Abɔnsam kpondɛ kɛ ɛnyia la, ɛkpɔnedeɛ ne bahola akpɔda ɛtane mɔɔ menli ɛyɛ na bɛnlu bɛ nwo la kɔsɔɔti.
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Emana sthane yete cai dujana yethaya keu rabe na,
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1.240989 |
soro soro kaeru jikan nai no bye (yeah! yeah!)
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taze tefika etulu esibhakabhakeni,
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1.239707 |
Saa mekɔ na mesiezie ɛleka memaa bɛ a, mebara bieko na mearava bɛ meahɔ me nwo lɔ, amaa bɛadɛnla ɛleka mɔɔ mewɔ la.
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Nase ngiyile nganilungisela indzawo, ngiyawubuya nginilandze, nite kimi, kuze kutsi lapho ngikhona nibe khona nani.
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1.239055 |
Na ɛnee bɛngola bɛnnwu sɛnzɛne ne wɔ alehyenlɛ nu anzɛɛ nwɔlɔra ne mɔ wɔ nɔɔzo.
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bakwesabe nome sekukhanya inyanga,
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1.238114 |
15Monnnɔ ewiase anaasɛ biribiara a ɛyɛ ewiase dea.
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15 Ningalitsandzi live nobe tintfo letikulo.
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1.237548 |
Kɛzi ɛdele nganeɛ wɔ mekɛ mɔɔ wɔanlie wɔando nu la ɛ?
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Bangamkholwa njani labangazange sebeve ngaye?
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1.232537 |
sɛdeɛ ɔbɛda ne tumi kɛseɛ no adi.
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kuze abonakalise emandla akhe lamakhulu.
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1.231562 |
wʼabɔdeɛ ahyɛ asase so ma.
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umhlaba ugcwele tidalwa takho.
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1.231262 |
2 Bɛhɔ zo bɛboa bɛ nwo ngoko wɔ ninyɛne mɔɔ anu yɛ ɛlomboɛ la anu, na ɔlua zo bɛali Kelaese mɛla ne azo.
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2 Chubekani nitfwalisana imitfwalo, ngekwenta njalo nigcwalise umtsetfo waKhristu.
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1.228316 |
Na sԑ yԑ ware a
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Ngifuna Kuteka
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1.228226 |
"Ɛfiri saa ɛberɛ yi de rekorɔ mɛka nneɛma foforɔ akyerɛ mo,
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"Kusukela nyalo sengitabonitjela tintfo letinsha,
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1.225214 |
Na merensɛe abɔdeɛ a nkwa wɔ mu bio sɛdeɛ mayɛ yi.
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Ngingeke ngiphindze ngikubhubhise konkhe lokuphilako, njengobe ngentile.
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1.223912 |
deɛ menwiaaɛ no mma.
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Mesita Kube.
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1.220245 |
deɛ ɔtutu anyansafoɔ adenim guo
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acitse kufundza kwalabahlakaniphile,
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1.219015 |
18Abigail ansɛe berɛ koraa.
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18Abigayili akacitsanga sikhatsi.
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1.218715 |
Eza bɛzie azule nee nyevile nu fɛlɛ, anwomanyunlu nloma nee azɛlɛ ye azo abɔdeɛ biala mɔɔ die ɛnwomenle la."
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Ngulapho-ke lizulu nemhlaba nako konkhe lokukuko
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1.216388 |
2Ɔkyeree ɔtweaseɛ kɛseɛ dada a ɔyɛ ɔbonsam no kyekyeree no mfeɛ apem.
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Yabamba nyokangwenya, inyoka lendzala, lekutsiwa nguMhlebi nome nguSathane; yambopha ngeluketane iminyaka leyinkhulungwane.
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1.214944 |
ka sɛ, "Ao adasamma, monsane nkɔ mfuturo mu."
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Basho: Haleluya, besho: Haleluya!
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1.214813 |
Nvonleɛ wɔ ɛ nwo ɛdeɛ, noko ɔnwu sonla mɔɔ ɛkulo kɛ ɛyɛ la na ɔ nye die nwolɛ.
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Ningabokwehlulela ngekubuka kwemehlo enu, kodvwa yehlulelani ngekwehlulela lokulungile!"
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1.214813 |
29Deɛ mekyerɛ ne sɛ, anuanom, ɛberɛ a aka sua.
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29 Ngetulu kwaloko bazalwane, ngiyasho ngitsi, sikhatsi lesisele sesinciphile.
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1.214485 |
^ Ɛhye kile, ye abɔdeɛ muala wɔ.
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Nkulunkulu weliciniso unguMdali wato tonkhe tintfo.
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1.213817 |
25"Aiwa, yɛnɛi, mu logoro ebe nɛ gɔŋɔlaa, Ama diinɛ waaju inɛ kanrun gɔ, e, waja mui iyeidelei ga mu igii wɔun.
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NaMosi watsi: 'INkhosi, Nkulunkulu wenu, iyawunitfumelela umphrofethi, njengobe nami angitfuma, loyawuba wesive sakini.
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1.212042 |
Deɛ ɔyɛɛ ani no, ɔrenhunu adeɛ anaa?
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Nanyalo anikacondzi, futsi anikaboni?
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1.210807 |
ne ɔhaw ahodoɔ a ɔgyinaa ano no.
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etinhluphekweni takhe tonkhe.
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1.21039 |
Duzu ati a amaneɛnwunlɛ ɛbu zo wɔ ewiade a?
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Yini lebangela kutsi kube nekuhlupheka lokungaka emhlabeni?
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1.209269 |
16Saa ɛda no, wɔbɛka akyerɛ Yerusalem sɛ,
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16Ngalelo langa bayawusho kuyo iJerusalema, batsi:
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1.208645 |
Baebolo ne ka kɛ, anwumabɔvolɛ atisesebɛma mɔɔ vile anwuma na bɛ nee mraalɛ ralale la a vale ngyegyelɛ ɛhye mɔ anu dɔɔnwo rale a.
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Bantfu netingilosi letadalwa nguNkulunkulu bebangakhona kumlalela ngaphandle kwenkinga.
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1.207203 |
Seetan maa menli fa bɛ nwo wulowula ɛbɛlatane nee ninyɛne mɔɔ sɛkye bɛ la anu.
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Emana sthane yete cai dujana yethaya keu rabe na,
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1.206429 |
Aseԑ ne sԑn?
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ufuna kutsini.
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1.206411 |
56Maria tenaa Elisabet nkyɛn bɛyɛ abosome mmiɛnsa ansa na ɔresane akɔ ne kurom.
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56Mariya wahlala na-Elizabethe tinyanga letatingacishe tibe tintsatfu, wase ubuyela ekhaya.
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1.20585 |
na wɔbɛdi nʼahyɛdeɛ so.
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kepha bagcine imiyalo yakhe;
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1.204963 |
Saa ɛberɛ korɔ no ara mu, abɔfra no ho tɔɔ no!
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Lendvodza lebeyigula yelapheka!
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1.204742 |
1Sɛdeɛ Adam asefoɔ nnidisoɔ teɛ nie.
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Lona ngumlandvo wentalelwane ya-Adamu.
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1.204043 |
, Dwn 15:14 bɛyɛ mɔɔ meha a, bɛle m.
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Nine nitihlobo tami, nanenta loku lenginiyale ngako.
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1.203852 |
ne boɔ yɛ sɛn?
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Kubita malini loku?
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1.203548 |
Bieko, saa bɛle Kelaese ɛdeɛ a, ɛnee amgba bɛle Ebileham abozoamra."
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Nangabe-ke nibaKhristu, niyintalelwana ya-Abrahama, nitindlalifa ngekwesetsembiso.
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1.202987 |
Ɛnee ɔnlie Testimonium ne ɔnli fee, na ɛnee ɔsele bɛdabɛ mɔɔ bɛdie bɛdi kɛ ɔle nɔhalɛ la bɔbɔ.
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Fakazi lowetsembekile akawacali emanga; kodvwa fakazi longaketsembeki uphefumula emanga.
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1.202826 |
16Ɔno na ɔdii ne nkurɔfoɔ anim wɔ ɛserɛ no so.
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16Nguye lowahola sive sakhe ehlane,
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1.201366 |
dadadadadada dadadada dadadadadada where are you?
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Make uyephi lamuhla?
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1.200855 |
Yemɔ a le mɔmoane ɛwɔlɛ ne mɔɔ bɛfɛlɛ ye Abɔnsam anzɛɛ Seetan, mɔɔ ɛbɛlɛbɛla ewiade amra amuala la.
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Tingilosi ezulwini tahlangana embi kwaNkulunkulu, futsi nesihlubuki lesinguSathane besilapho.
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1.200817 |
ɛdeɛ bɛn biom na wobɛtumi ayɛ ama me
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langentela kona?
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1.200817 |
berɛ bɛn? when?
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Kwabe kungusiphi sikhatsi?
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1.200427 |
Duzu ati a amaneɛnwunlɛ ɛbu zo wɔ ewiade a?
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Yini lebangela kuhlupheka lokungaka emhlabeni?
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1.200316 |
sɛdeɛ morentumi nka sɛ,
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Ngako-ke ningeke nisho kutsi:
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1.200226 |
sɛ ɔdane ne ho kɔ anafoɔ fam a, mʼani nhye ne ho.
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nasaya eningizimu, angimfanisi ngisho nekumfanisa.
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1.200208 |
ad ciam̃tū a ciam̃tū admerciamentum, amerciamentum.
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longumusa nesihawu.
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1.198241 |
^ Anzɛɛ "meamaa bɛ agbɔvolɛ ahakyi bɛ nzi amaa bɛ."
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ngize ngifake titsa takho
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1.197915 |
Bɛva ɛtane bɛhyɛ, kɛmɔ Awulae ɛva bɛ nwo edwɛkɛ ɛhyɛ bɛ la."
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Njengobe Jehova anitsetselele ngekukhululeka, nani yentani kanjalo.
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1.196402 |
ɛyɛ amanehunu ne ɔsɛeɛ ɛda,
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lilanga lenhlupheko nembhubhiso,
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1.195475 |
mʼatamfoɔ nhyɛsoɔ nti?"
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ngenca yekucindzetelwa sitsa?"
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1.195412 |
6Wɔkunkumm akunafoɔ ne amanfrafoɔ;
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6Babulala bafelokati, netihambi,
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1.195299 |
1Ao Awurade, hwɛ sɛdeɛ mʼatamfoɔ dɔɔso fa!
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Fingani tilos!
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1.195171 |
Asekyerԑ ne sԑn?
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Kusho kutsini loko?
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1.194883 |
?Kɛ e tran aɲia'm be bo'n, wafa sɛ yɛ e yo e wiengu'm be ye ɔ?
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Sekumele ngitjelwe nguwe nyalo kutsi umngani wami lo ulungile, lowa akakalungi?'
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1.193746 |
I kya nyiile yɛɛ ɔmɔ ne i kaaborɛ me‐rɛ mɔmɔ aꞌ naa.
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lahla ekhatekom ,merci .
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1.193328 |
Akwantuo no bɛdi mmerɛ sɛn?
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Luhamba njani uhambo?
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1.193077 |
Ne boɔ bɛyɛ sɛn?
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Kutawubita malini?
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1.192377 |
sɛdeɛ Noah nna no yɛeɛ no, saa ara na Yesu mmaeɛ no bɛyɛ
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"Njengobe kwakunjalo ngemalanga aNowa, kuyawuba njalo nangemalanga eNdvodzana yeMuntfu.
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1.192005 |
12Ma yɛnhunu yɛn nna kan sɛdeɛ ɛteɛ,
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sikwati kubala emalanga etfu,
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1.19188 |
ɔkɔɔ wɔn mmoa wɔ berɛ bi a atwam.
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Betibasita njani bantfu kadzeni?
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1.191832 |
4Eke ↄny ɛm ecʼɛgŋ nyam bi dad ɛsɛ: "Ɛm, Pↄl eci mʼel," ɛtŋ ɛjeci nyam bi dad ɛsɛ: "Ɛm gbɛ Apolↄs eci mʼel a," ke ki dadmn odad ɛsɛ elel eke agŋ ɛjecʼa bi dad ab af ee?
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Ngobe nangabe lomunye atsi: "Mine ngiwaPawula," lomunye atsi: "Mine ngiwa-Apolosi," anisibo yini bantfu bemvelo?
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1.191756 |
Mepε sε meyε meho sε
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Njagala Nkufanane
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1.190887 |
nanso Mose a ɔyɛ deɛ wapa noɔ no
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kepha Mosi, lokhetsiwe wakhe,
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1.190789 |
36Ɛfiri sɛ, adeɛ nyinaa firi ne mu na ɛba, na ɛnam ne so na ɛba, na ɛbɛsane akɔ ne nkyɛn bio.
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Ngobe konkhe kuvela kuye,
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1.190673 |
ɛfiri sɛ, woyɛ adeɛ nyinaa sodifoɔ.
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ngobe kuwe kuyawuphuma umbusi
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1.189687 |
13Apono mmiɛnsa wɔ apueeɛ; mmiɛnsa wɔ anafoɔ; mmiɛnsa wɔ atifi ɛnna mmiɛnsa wɔ atɔeɛ.
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13Bekunemasango lamatsatfu ngasemphumalanga, nangasenyakatfo amatsatfu, nangaseningizimu amatsatfu, nangasenshonalanga amatsatfu.
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1.189496 |
ɛno na woakora ama wɔn a wɔsuro woɔ no;
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Shangatsi bangesaba wena,
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1.189376 |
wone yɛn asraafoɔ nnkɔ ɔsa bio.
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awusaphumi kanye nemabutfo etfu.
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1.189249 |
Yɛ ndonwo fa kile ngakyile mɔɔ wɔ adwenlenubukelɛ, ndelebɛbo, nee nrɛlɛbɛ avinli la anu.
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lowo lonelwati loluvela kuLosetikwako Konkhe,
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1.188688 |
ne abɔsoɔ a ɛbɔ no daa.
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kusukela ngelilanga lowadalwa ngalo,
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1.188612 |
8 Ninyɛne dɔɔnwo mɔɔ ɔti amaneɛnwunlɛ ɛyi ewiade la noko wɔ ɛkɛ.
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8 Kunaletinye tizatfu letibangela kutsi kube nekuhlupheka lokungaka emhlabeni.
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1.187535 |
Nengyene ɔ wɔra ilaa iko mɔ, fɛ' kpaa buu imɔ nno."
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Ngoba ngimkhetsile kutsi abe yinceku yami lebalulekile.'
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1.18746 |
Awurade bobom wɔ nsuo akɛseɛ so.
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Umfula waNkulunkulu ugcwele emanti.
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1.186823 |
Ne boɔ yɛ den dodo.
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kubita kakhulu,
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1.186415 |
13Sica eke nuŋ ɛm ↄny ɛsɛl a im a, Ɛs Kↄtↄkↄ ecʼafr ɛrm ɛs nyam ow ɛŋn Josɛf mɛmn ɛm ɛtŋ dadʼr ninɛ: "Ìgb, òc iy a lele lis ab urur es imn Ejipt toŋ bake Ɛs Kↄtↄkↄ dád ↄny e mɛny ɛwl ow ecʼodad, aŋke Erↄd bʼow ↄl iy a eci ibi es." 14Kpɛkŋ Josɛf igb ncok ɛm, oc iy a lele Mari ab ɛtŋ -nʼim Ejipt.
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Faro wabaphendvula watsi: "Hambani niye kuJosefa, nente konkhe latanitjela kona."
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1.18629 |
Duzu a vale amaneɛnwunlɛ ngakyile ɛhye mɔ rale a?
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Yini Leyenta Kube Nekuhlupheka Lokungaka?
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1.186067 |
sɛdeɛ ɛyɛa woyɛ no naa aa
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Leni, uyatibuta?
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1.186052 |
nhunu amumuyɛfoɔ nkontompofoɔ no mmɔbɔ.
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Thembisa labo disbelieve buhlungu retribution!
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1.18542 |
Yɛ wɔ awovolɛ mo wɔ ninyɛne mɔɔ bɛyɛ bɛmaa wɔ la anwo!
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Yentani kulabanye bantfu loko lenifuna kutsi bakwente kini!
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1.185179 |
8Wɔn apɔnkɔ ho yɛ herɛ sene asebɔ,
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"Emahhashi abo agijima kwendlula tingwe,
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1.185001 |
Ɔte TV anim ara ma adeɛ asa
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Nayib Bukele TV
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1.184806 |
na fa yɛn aka firi yɛn, sɛdeɛ yɛdɛ firi wɔn a wɔde yɛn aka.
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Sitsetselele tono tetfu, njengobe natsi sibatsetselela labasonako.
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1.18412 |
ɔrebɔ Israel sobo.
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usho licala lombeka lona Israyeli.
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1.183392 |
16Saa da no, wɔbɛka akyerɛ Yerusalem se,
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16Ngalelo langa bayawusho kuyo iJerusalema, batsi:
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1.183314 |
MENLI ɛva ɛvolɛ apenle dɔɔnwo ɛdwenle kpuyia ɛhye mɔ anwo.
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2 Sekuphele iminyaka leminyenti solo bantfu banemibono lengafani ngalendzaba.
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1.182287 |
"Hyԑ nkᴐm, hyԑ nkᴐm, wo yԑ Odiii!"
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Yatsi kimi: "Yitsatse, uyidle.
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1.182065 |
Ɛnee bɛdie bɛ nwo bɛdi somaa.
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bona abuye acacise ngemlayeto nengckitsi;
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1.18198 |
ma wɔdane aboɔ asie.
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Susani ematje.
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1.181875 |
cam ne tuh ek?
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Akka er kudla na..?
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1.181871 |
de apeatoɔ bɛbrɛ no;
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bese uyamkhonta;
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1.181736 |
eo oi! so hot! thanks nang nhe!
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Kupholile kakhulu, ngiyabonga.
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1.181507 |
Kɛzi menli adwenle yɛ bɛ wɔ diedi nwo ɛ, na duzu ati a bɛvo a?
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Nanyalo anikacondzi, futsi anikaboni?
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1.180456 |
wodaa berɛ bɛn?
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Nini Ngingaya lala?
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1.180403 |
Afoforɔ nso kaa sɛ, odiyifoɔ foforɔ bi a ɔte sɛ tete adiyifoɔ akɛseɛ no bi na waba.
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Labanye batsi: "Ngumphrofethi njengalabanye baphrofethi bakadzeni."
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End of preview. Expand
in Data Studio
Akan-Swati_Sentence-Pairs Dataset
This dataset contains sentence pairs for African languages along with similarity scores. It can be used for machine translation, sentence alignment, or other natural language processing tasks.
This dataset is based on the NLLBv1 dataset, published on OPUS under an open-source initiative led by META. You can find more information here: OPUS - NLLB-v1
Metadata
- File Name: Akan-Swati_Sentence-Pairs
- Number of Rows: 19251
- Number of Columns: 3
- Columns: score, Akan, Swati
Dataset Description
The dataset contains sentence pairs in African languages with an associated similarity score. Each row consists of three columns:
score: The similarity score between the two sentences (range from 0 to 1).Akan: The first sentence in the pair (language 1).Swati: The second sentence in the pair (language 2).
This dataset is intended for use in training and evaluating machine learning models for tasks like translation, sentence similarity, and cross-lingual transfer learning.
References
Below are papers related to how the data was collected and used in various multilingual and cross-lingual applications:
[1] Holger Schwenk and Matthijs Douze, Learning Joint Multilingual Sentence Representations with Neural Machine Translation, ACL workshop on Representation Learning for NLP, 2017
[2] Holger Schwenk and Xian Li, A Corpus for Multilingual Document Classification in Eight Languages, LREC, pages 3548-3551, 2018.
[3] Holger Schwenk, Filtering and Mining Parallel Data in a Joint Multilingual Space ACL, July 2018
[4] Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R. Bowman, Holger Schwenk and Veselin Stoyanov, XNLI: Cross-lingual Sentence Understanding through Inference, EMNLP, 2018.
[5] Mikel Artetxe and Holger Schwenk, Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings arXiv, Nov 3 2018.
[6] Mikel Artetxe and Holger Schwenk, Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond arXiv, Dec 26 2018.
[7] Holger Schwenk, Vishrav Chaudhary, Shuo Sun, Hongyu Gong and Paco Guzman, WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia arXiv, July 11 2019.
[8] Holger Schwenk, Guillaume Wenzek, Sergey Edunov, Edouard Grave and Armand Joulin CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB
[9] Paul-Ambroise Duquenne, Hongyu Gong, Holger Schwenk, Multimodal and Multilingual Embeddings for Large-Scale Speech Mining, NeurIPS 2021, pages 15748-15761.
[10] Kevin Heffernan, Onur Celebi, and Holger Schwenk, Bitext Mining Using Distilled Sentence Representations for Low-Resource Languages
- Downloads last month
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Size of downloaded dataset files:
2.01 MB
Size of the auto-converted Parquet files:
1.42 MB
Number of rows:
19,251