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
score
float32 1.04
1.23
| Hausa
stringlengths 10
492
| Wolof
stringlengths 10
453
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1.227241
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29. gama "Allahnmu wuta ne mai cinyewa."
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ndaxte sunu yàlla, safara la suy lakke.
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1.225639
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Me ya sa kuke zaune kai kadai, Duk jama'a kuwa suna tsaye a gabanka, daga safiya, har zuwa maraice?"
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Lu tax ngay toog, di àtte yaw rekk, mbooloo mépp wër la, suba ba ngoon?"
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1.219943
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31wanda ka shirya a gaban dukan mutane,
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xeet yépp seede ko.
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1.213082
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Ba su taɓa shan ruwan inabi ba har wa yau, domin suna biyayya da umarnin kakansu.
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Duñu naan biiñ ba tey jii ndax wormaal seen santaaney maam.
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1.211146
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Luka 24:45 Sa'an nan ya buɗe fahimtarsu, don su fahimci littattafai,
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45 Noonu mu ubbi seen xel, ngir ñu xam li Mbind mi di wax.
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1.209478
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َ018-087 Ya ce: "Amma wanda ya yi zãlunci, to zã mu azabta shi, sa'an nan a mayar da shi zuwa ga Ubangijinsa, sai kuma Ya yi masa azãba, azãba abar ƙyãma."
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(86) Mu ne: ku tooñ nag, dananu ko mbugal topp nu delloo ko ca Boroomam mu mbugal ko mbugal mu tar.
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1.207946
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"Kai kuma, ɗana, za a ce da kai annabin Maɗaukaki; gama za ka sha gaban Ubangiji don ka shirya masa hanya,
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Yaw nag doom, dinañu lay wooye yonentu Aji Kawe ji,ndaxte dinga jiitu, di yégle ñëwu Boroom bi,di ko xàllal yoon wi.
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1.204175
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"Malam, wace doka ce mafi girma a cikin dokoki?"
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"Kilifa gi, ban ndigal moo gën a màgg ci yoonu Musaa?"
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1.203671
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58 Bai kuma yi mu'ujizai masu yawa a can ba, saboda rashin bangaskiyarsu.
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58 Te Yeesu defu fa kéemaan yu bare ndax seen ngëmadi.
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1.19742
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4Za su ga fuskarsa, sunansa kuma zai kasance a goshinsu.
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4 Dinañu gis xar kanamam, te turam dina nekk ci seen jë.
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1.194046
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12Ku yi murna ku kuma yi farin ciki, domin ladarku mai yawa ne a sama, gama haka suka tsananta wa annabawan da suka riga ku.
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bégleen te bànneexu, ndax seen yool dina réy ci laaxira. ndaxte noonu lañu daan fitnaale yonent yi fi jiitu.
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1.193522
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ba kuwa wanda zai ji muryarsa a kan tituna.
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te kenn du dégg baatam ci mbedd yi.
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1.18987
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Ku kuma yi matuƙar amfani da kowane zarafi, don kwanakin mugaye ne.
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tey jariñoo jot gi, ndaxte nu ngi ci jamono ju bon.
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1.187927
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28Wannan jinina ne na sabon alkawari, wanda aka zubar saboda mutane da yawa, don gafarar zunubai.
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26:28 ndaxte lii sama deret la, ji fas kóllëre gi, te mu tuuru, ngir ñu bare jot mbaalug bàkkaar yi.
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1.185595
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Duk wanda zai bauta mini dole yǎ bi ni, inda kuma nake, a can bawana zai kasance.
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Ku bëggga doon sama surga, na ma topp, bu ko defee, fu ma nekk, fa lay nekk moom itam.
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1.185353
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39 Kuma ta wurinsa duk wanda ya gaskanta ya kuɓuta daga dukan abubuwan da ba za ku sami kuɓuta ta wurin dokokin Musa ba.
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fa la Yeesu di àttee ni ku jub képp ku ko gëm.
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1.184928
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Yana ba da umarni ga iska da ruwa ma, kuma suna biyayya da shi?"
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Mi ngi jox ndigal ngelaw li ak ndox mi, ñu koy déggal."
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1.182872
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Mu ma don me muke sa kanmu cikin hatsari a kowace saʼa?
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30 Te kon nun it, ana lu jar nuy jaay sunu bakkan waxtu wu nekk?
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1.182093
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31. wanda ka shirya a gaban dukan mutane,
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xeet yépp seede ko.
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1.18168
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ashe, hidimar Ruhu ba za ta fi wannan ɗaukaka ba?
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rawatina nag ne, jëfu Xelum Yàlla dina gën a ànd ak ndam.
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1.181339
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Ku mazinata, ba ku san cewa abokantaka da duniya gāba ce da Allah ba?
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Xanaa xamuleen ne xaritoo ak àddina moo di noonoo ak Yàlla?
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1.181013
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48 Ku ne shaidun waɗannan abubuwa.
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48 Yéenay samay seede.
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1.178442
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Babu wanda ya taɓa ganin Allah domin shi Ruhu ne.
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Kenn masul gis Yàlla ndaxte Xel la.
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1.178079
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28"Haka ma aka yi a zamanin Lot.
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28 "Dina mel it ni la xewoon ca bési Lóot.
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1.177576
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"Ni ba na neman yabon mutane,
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"Wutuma tagg yu jóge ci nit.
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1.176987
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(Farawa 1:28) Ba za a taɓa halaka duniya ba.
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(Njàlbéen ga 1: 28) Suuf si du fi mas a jóge.
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1.176917
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Me muka koya daga matar Lutu?
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Lan lañu mën a jàng ci li dal jabaru Lóot ?
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1.174792
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Ni zan tafi wurinsa, amma shi ba zai komo wurina ba."
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Man kay maa koy fekki, waaye moom du délsi ci man mukk."
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1.173369
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2:3 Domin wannan abu ne mai kyau da kuma m, a wurin Allah Mai Cetonmu,
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2:3 Loolu mooy li rafet te neex Yàlla sunu Musalkat,
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1.173365
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Amma babban firist ya taso, da duk waɗanda suke tare da shi, wato 'yan ɗariƙa Sadukiyawa, suna kishi gaya,
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Booba saraxalekat bu mag ba jóg ak gàngooram gépp, maanaam kureelu Sadusen, ga fa dëkk.
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1.173218
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30. da zai kāsa samun riɓi mai yawa, a wannan zamani, ya kuma sami rai madawwami a zamani mai zuwa."
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18:30 dinga am tey jii ay yooni yoon, ak dund gu dul jeex ëllëg."
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1.173061
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8. ashe, hidimar Ruhu ba za ta fi wannan ɗaukaka ba?
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rawatina nag ne, jëfu Xelum Yàlla dina gën a ànd ak ndam.
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1.172399
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4Za su ga fuskarsa, sunansa kuma zai kasance a goshinsu.
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22:4 Dinañu gis xar-kanamam, te turam dina nekk ci seen jë.
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1.171275
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gama mu gaɓoɓin jikinsa ne.
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ndaxte noo di céri jëmmam.
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1.170653
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28:17 Kuma, ganin shi, suka yi masa sujada, amma wasu wadanda shakka.
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28:17 Bi ñu gisee Yeesu, ñu màggal ko, waaye ñenn ñi am xel ñaar.
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1.169989
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Manomi yakan shuka maganar Allah.
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Ki ji nag, kàddu gi lay ji.
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1.169857
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7 In kuwa za ka yi mini sujada, duk za su zama naka."
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Kon boo ma màggalee, dinga moom lépp."
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1.169594
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Zan tafi wurinsa, amma ba zai komo wurina ba. "
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Man kay maa koy fekki, waaye moom du délsi ci man mukk."
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1.169412
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Yahaya 20:28 "Toma ya amsa masa ya ce, "Ya Ubangijina da kuma Allahna!"
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20:28 Tomaa tontu ko ne: "Sama Boroom, sama Yàlla!"
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1.168724
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47Ya ce: "Aminci (3) ya tabbata a gare ka!
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(47) Mu ne: "Yàlla na jàmm nekk ci yaw.
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1.167668
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Duk da haka, kada ku yi farin ciki da cewa, kun sha ƙarfin ruhohi, amma ku yi farin ciki, domin an rubuta sunayenku a sama."
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20 Moona li leen rab yi déggal, bumu tax ngeen bég, waaye bégleen ndax li ñu bind seen tur ci asamaan."
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1.16689
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"Kai kuma, ɗana, za a ce da kai annabin Maɗaukaki; gama za ka sha gaban Ubangiji don ka shirya masa hanya,
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1:76 Yaw nag doom, dinañu lay wooye yonentu Aji Kawe ji,ndaxte dinga jiitu, di yégle ñëwu Boroom bi,di ko xàllal yoon wi.
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1.166506
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Ba ku san cewa, dole in kasance a gidan Ubana ba?" 50Amma ba su fahimci abin da yake faɗin musu ba.
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Xanaa xamuleen ne, damaa war a nekk ci sama kër Baay?" 2:50 Waaye xamuñu li kàddoom yi doon tekki.
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1.166061
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Mece ce mai ceto kuma me yasa muke bukatar mai ceto?
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Lan mooy ab Musalkat te lutax nu soxlo ab Musalkat ?
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1.165212
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28:17 Kuma, ganin shi, suka yi masa sujada, amma wasu tabbatattu.
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28:17 Bi ñu gisee Yeesu, ñu màggal ko, waaye ñenn ñi am xel ñaar.
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1.165192
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9 (Wato, da aka ce "Ya hau" ɗin, me aka fahimta, in ba cewa dā ya sauka a can ƙasa ba?
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9 Su nu waxee ne "yéeg na," li moo ci génn: daa jëkka wàcc ba ca bérab ya gëna suufe.
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1.165177
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37Ya amsa ya ce, "Mai yafa irin mai kyan nan, shi ne Ɗan Mutum.
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13:37 Noonu Yeesu tontu leen ne: "Doomu nit ki mooy ji jiwu wu baax wi;
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1.165086
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Gare shi bari iko yǎ tabbata har abada abadin.
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Na Yàlla yelloo màgg ba fàww.
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1.164689
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2:9 Saboda wannan, Allah kuma ya ɗaukaka shi kuma ya bashi suna wanda ke bisa kowane suna,
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Moo tax Yàlla kaweel ko lool,jox ko tur wi tiim yépp,
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1.164603
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14. a maimakon su mai da hankali ga almarar Yahudawa, ko kuwa dokokin mutane masu ƙin gaskiya.
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1:14 te bañ a topp léebi diiney neen yu Yawut yi, mbaa tegtali nit, ñi dëddu dëgg.
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1.164214
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Sai Musa ya ɓoye fuskarsa, gama yana jin tsoro ya dubi Allah.
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Ca la Musaa nëbb kanam ga, ndax ragala xool Yàlla.
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1.164214
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Wane gargaɗi mala'iku biyu suka yi wa Lutu?
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Lan la ñaari malaaka yëgal Lóot ?
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1.164134
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Mun sani cewa Allah ba ya kasa kunne ga masu zunubi.
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Xam nanu ne, Yàlla du déglu boroom bàkkaar.
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1.163667
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Ka ɗauki matarka da 'ya'yanka mata biyu ka fita daga nan!'
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Jëlal sa jabar ak sa ñaari doom yu jigéen te jógeleen fii ! '
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1.163234
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Na san ayyukanka, ba ka da sanyi ba ka kuma da zafi.
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Xam naa say jëf, xam ne seddoo, tàngoo.
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1.162542
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Aya ta tabbatar mana da cewa: "Amma idan makiyinka yana jin yunwa, ka cece shi; idan yana jin kishi, ka ba shi sha; gamagarin yin haka, za ka tara masa garwashin wuta akansa" (Romawa 12:20).
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Waaye defleen lii:"Bu sa noon xiifee, may ko mu lekk;bu maree, may ko mu naan.Ndax boo ko defee, dinga ko rusloo."
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1.162443
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4:9 Say mai, akwai ya rage wani Asabar da sauran domin mutane na Allah.
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4:9 Kon ba tey Yàllaa ngi dencal ay gaayam noflaay bu nirook noflaayu Yàlla ca juróom-ñaareelu fan ba.
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1.162181
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In na sallame su gida da yunwa, za su kāsa a hanya, don waɗansu daga cikinsu sun zo daga nesa."
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Su ma leen yiwee ak seen xiif, dinañu tële ci yoon wi, ndaxte am na ñu jóge fu sore."
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1.162095
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10 Ashe, ba dukanmu Ubanmu ɗaya ba ne?
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10 Xanaa du benn baay lanu am, nun ñépp?
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1.16197
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Fish Machha ko Masu
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Jën walla yàpp?
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1.161654
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Saboda wannan ne nake a durƙushe a gaban Uba,
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Moo tax maa ngi sukk, jublu ci Yàlla Baay
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1.161211
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30. yana cewa, 'Wannan mutum ya fara gini, amma bai iya gamawa ba.'
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"Waa jii dafa tàmbalee tabax, waaye mënu koo àggale."
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1.161067
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"Ku yi farinciki, ku yi murna kwarai: gama Ladarku mai-girma ce cikin sama: gama hakanan suka tsananta ma annabawan da suka rigaye ku" (Matta 5:12).
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bégleen te bànneexu, ndax seen yool dina réy ci laaxira. ndaxte noonu lañu daan fitnaale yonent yi fi jiitu.
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1.160963
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Manzanni da ʼyanʼuwa koʼina a Yahudiya suka ji cewa Alʼummai ma sun karɓi maganar Allah.
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1 Bi loolu amee ndaw yi ak bokk yi nekk ci diiwaanu Yude, dégg nañu ne, ñi dul Yawut nangu nañu kàddug Yàlla.
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1.160612
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Yara suna bukatar su yi wa iyayensu biyayya. - Afisawa 6:1-3.
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Xale yi dañu war a déggal seeni waajur. - Efes 6:1-3.
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1.160299
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11:27 Kuma wannan shine alkawarina a gare su, lokacin da zan dauke zunubansu. "
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11:27 Loolu mooy kóllëre, gi may fas ak ñoom,bés bu may dindi seeni bàkkaar."
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1.159106
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7 Wanene kai, ya babban dutse?
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7 Yaa di kan, yaw tund wu mag wi?
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1.158857
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a aqirjinsa,yayi luf kuwa abinsa don tuni ya jima da gane shi,akwai sabo
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Lot ne ca xiiñidxaapaʼ bizuubacaʼ diidxaʼ ne bixooñecaʼ de Sodoma.
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1.158806
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186"Kuma bã kõwa kake ba, fãce mutum kamarmu kuma lalle ne munã zaton ka, haƙĩƙa, daga maƙaryata."
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Nun ay surga rekk lanu, yu ngeen jaare, ba gëm.
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1.158805
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18Al'ummai suka yi fushi;
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18 Xeet yi meroon nañu,
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1.158669
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Amma mu almajiran Musa.
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Nun, taalibey Musaa lanu.
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1.158643
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Amma ba abin da aka koya muku ke nan ba saʼad da kuka zo ga sanin Kiristi.
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20 Waaye du dundin woowu ngeen jàng ci Kirist.
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1.158262
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6: 2 Ka girmama mahaifinka da mahaifiyarka; Wancan shine umarni na farko tare da alkawarin;
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6:2 "Teralal sa ndey ak sa baay," mooy ndigal li jëkk a ëmb dige,
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1.157884
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'Domin Wannan Na Zo Duniya' (Yohanna 18:37) _ Wasan Kwaikwayo da Za a Saurara
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" Lii moo tax ma ñëw àddina " (Yowaana 18:37)
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1.15786
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Me ya sa Yesu ne sarkin da ya dace? - MARKUS 1:40-42.
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Lu tax Yeesu nekk Buur bi gën? - MÀRK 1:40-42.
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1.157807
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Amma sa'ad da ya kira sunanta, Maryamu ta fahimci cewa Yesu ne.
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Waaye bi mu ko woowee ci turam, Maryaama xam ne Yeesu la.
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1.157647
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21, 22. (a) Me ya sa za mu halarci bikin Jibin Ubangiji kowace shekara? (b) Menene za a yi bayani a kai a babi na 6 da 7?
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21, 22. a) Lu tax ñu war a teewe Reeru Boroom bi ñuy def at mu nekk? b) Lan lañuy waxtaan ci pàcc 6 ak 7?
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1.157591
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Ba kowa bane ya kai wannan Tauraro kara face Takwaran sa watau Ali Nuhu.
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Kon njabootu Nóoyin, juróom-ñetti nit la woon.
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1.15683
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Sai macen ta bar tulunta na ruwa, ta koma cikin gari ta ce wa mutane,
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noonu jigéen ja wacc fa njaqam, daldi dem ca dëkk ba ne leen:
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1.156497
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Dukan wanda ba ya cikin jirgin zai mutu.
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Kepp ku nekkul ci biir gaal gi, dina dee.
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1.156116
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Allah Yana da Suna Kuwa? | Tambayoyin Littafi Mai Tsarki
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Ndax Yàlla am na tur?
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1.155669
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Ibrahim zai zama "al'umma mai-girma," kuma dukan iyalai da ke duniya za su samu albarka ta wurinsa.
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18 Ndax kat Ibraayma dina sos xeet wu mag te am doole, te xeeti àddina yépp ci moom lañuy barkeele.
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1.155649
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Ka faɗa wa Fir'auna, Sarkin Misira, dukan abin da na yi magana da ku. "
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Nanga wax Firawna buuru Misra, li ma lay wax lépp."
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1.155647
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Matattu Za Su Sake Rayuwa Kuwa?
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Ndax ñi dee dinañu dundaat ?
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1.15562
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ga kafirai akan muminai" Nisa'i aya ta: 141, hakan sai ya
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Waaye ci ñi gëmul, nag:
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1.155079
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Haka almajiran suka yi, kowa kuwa ya zauna.
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Taalibe ya def ko, toogloo nit ña.
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1.155068
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Ka san mene abinda ake kira mulki?
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Ndax xam nga ban nguur la ?
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1.154671
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Bitrus da manzannin sun ba da shaida kuma sun yi bayanin cewa dole ne su yi wa Allah biyayya amma ba mutane ba.
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Waaye Piyeer ak ndaw ya tontu leen ne: "Déggal Yàlla moo gën déggal nit.
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1.154622
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Duk da haka kun kyauta da kuka yi tarayya da ni cikin wahalolina.
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Waaye teewul taxawu, bi ngeen ma taxawu ci sama tiis, jëf ju rafet la.
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1.154265
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"Duk kuma wanda ya karɓi ƙaramin yaro kamar wannan a cikin sunana ya karɓe ni ne.
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Te it ku nangu ci sama tur xale bu mel ni kii, man mii nga nangu.
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1.153578
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47ruhuna kuma yana farin ciki da Allah Mai Cetona,
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"Sama xol a ngi màggal Boroom bi,sama xel di bég ci Yàlla sama Musalkat,
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1.153339
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Gama idanuna sun ga cetonka,
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30 Ndaxte sama bët tegu na ci mucc gi nga lal,
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1.153262
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10 Da kuma, "Ya ubangiji, kai ne ka halicci duniya tun farko, Sammai kuma aikinka ne.
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10 Newaat na it:"Yaw Boroom bi,yaa sàkk àddina ca njàlbéen ga,defar asamaan yi ci sa loxoy bopp.
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1.153176
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Sai Yesu ya faɗa musu wannan misali, ya ce,
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Noonu Yeesu daldi leen wax léeb wii ne leen:
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1.15313
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Ku yi aikinku da kyakkyawar niyya, sai ka ce ga Ubangiji kuke yi, ba mutane ba.
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Beyleen seen sas nag ak xol bu tàlli, ni su doon ngir Boroom bi te du nit,
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1.152916
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33 Ka san ka'idodin sammai?
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33 Dangaa xam dogali yoon yi yor asamaan?
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1.152876
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Gama sun wartsake ruhuna da kuma naku.
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Seral nañu sama xol ak seen yos itam.
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1.152868
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Wannan kuwa wane irin yunɓu ne Allah yayi amfani da shi wajen halittar ta?
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Ndax li Yàlla sàkk amoon na sikk?
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1.152527
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Saboda haka, Littafi Mai Tsarki zai iya taimaka maka ka san Allah.
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Kon Biibël bi mën na la dimbali nga xam Yàlla.
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1.152247
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11:27 Kuma wannan zai zama alkawarina a gare su, sa'ad da zan dauke da zunubansu. "
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11:27 Loolu mooy kóllëre, gi may fas ak ñoom,bés bu may dindi seeni bàkkaar."
|
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in Data Studio
Hausa-Wolof_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: Hausa-Wolof_Sentence-Pairs
- Number of Rows: 77051
- Number of Columns: 3
- Columns: score, Hausa, Wolof
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).Hausa: The first sentence in the pair (language 1).Wolof: 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
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