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Akan
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Wolof
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498
1.230506
Aso na mvomsoɛ wɔ Nyameɛpiri abɔdeɛ nwo anaa?
Ndax li Yàlla sàkk amoon na sikk?
1.224951
Noko, tɛ awie biala a kulo ahyebizalɛ a.
Waaye du ñépp a ko bëgg.
1.222806
Ye avinli ne mɔɔ tɛlɛ la a bɛfa deɛ ne mɔɔ bɛkulo kɛ bɛto mɔɔ ɔta ɔyɛ bolɛ la bɛto a.
Bokk na ci ba tay: ku def la ko soob dajeek la ko naqari.
1.218754
13Yei ne deɛ ɛda hɔ ma wɔn a wɔgye wɔn ho die,
Waaye ci ñi gëmul, nag:
1.214793
Ye avinli ne mɔɔ tɛlɛ la a bɛfa deɛ ne mɔɔ bɛkulo kɛ bɛto mɔɔ ɔta ɔyɛ bolɛ la bɛto a.
Yàlla moo leen jot, ñuy céru boppam bu mu sopp.
1.210811
Nyamenle biala nee bɛ ɛdeɛ ne ɛnzɛ.'
Yalla rekk-ay Yalla te li Mu yellool Moom rekk-a ko yellool.
1.20612
ɔdansefoɔ nokwafoɔ a ɔwɔ ewiem no."
seede su wóor ci na mbir may mujje,
1.204483
6Yɛayɛ bɔne sɛdeɛ yɛn nananom yɛeɛ no;
6 Noo bàkkaar, nook sunuy maam;
1.203524
"Hena nkyԑn na yԑnkɔ?
Ana fu mu jëm ak nun ?
1.202527
Wɔdii mfeɛ mmieɛnsa.
Amoon na juróom ñett fukki at.
1.201149
Menli mɔɔ su edwɛkɛ ɛhye anwo kpolera la ka mɔɔ bɛdie bɛdi la anwo edwɛkɛ ndɛndɛ mɔɔ bɛnze deɛmɔti bɛdie bɛdi la.
Waaye naka ñi gëmul:
1.201091
Ne boɔ bɛyɛ sɛn?
Lan mooy njëg?
1.198715
38Misraim ani gyeeɛ ɛberɛ a wɔkɔeɛ,
38 Misra daa bég ba ñu demee
1.198133
Kɛzi ɛdele nganeɛ wɔ mekɛ mɔɔ wɔanlie wɔando nu la ɛ?
Naka lañu mana gëme ki ñu déggagul turam?
1.196544
Na sԑ yԑ ware a
Yaa ngiy séy?
1.195624
Ndoboa mɔɔ bɛfi bɛ ɛhulolɛ nu bɛye la yɛɛ yɛfa yɛyɛ ɛhye mɔ amuala a.
Lépp li ngeen di def, defleen ko ak mbëggeel.
1.194591
wodaa berɛ bɛn?
Ma tu ci dormi?
1.191629
29Deɛ mekyerɛ ne sɛ, anuanom, ɛberɛ a aka sua.
29 Lii laa bëgga wax, bokk yi: diir bu gàtt rekk a fi des.
1.190213
39Yesu kaa sɛ, "Mebaa ewiase ha sɛ merebɛbu atɛn, na mama wɔn a wɔyɛ anifirafoɔ no ahunu adeɛ, na makyerɛ wɔn a wɔgye di sɛ wɔhunu adeɛ no sɛ, wɔyɛ anifirafoɔ."
39 Yeesu ne ko: "Àttee ma taxa ñëw àddina, ngir ñi gumba gis, ñiy gis gumba."
1.189798
, Wlo 1:20 bɛnwu ye subane ne mɔ mɔɔ ɛ. bɛ
Ci seeni jef nag ngeen leen di xàmmee.
1.189143
oh man, that's insane!
Yea waaay crazy!
1.188601
^ Ɛhye kile, ye abɔdeɛ muala wɔ.
Yàllaa sàkk bépp mbindeef.
1.18654
16"Dan bɛbu ne manfoɔ atɛn
16 "Dan ay àtteji xeetam,
1.186026
na ɛduru anwummerɛ a, ɔkyekyɛ ɛnam nkaeɛ no."
10 Waaye kuy dox guddi, dina fakktalu, ndaxte leer nekkul ci moom."
1.185129
nokorɛ no ara na woaka no it's just the truth that you've said;
Sàllaaw wax na dëgg gu wér péŋŋ!
1.184957
56Maria tenaa Elisabet nkyɛn bɛyɛ abosome mmiɛnsa ansa na ɔresane akɔ ne kurom.
56 Noonu Maryaama toog fa Elisabet lu wara tollook ñetti weer, sooga ñibbi.
1.18356
mfa ayɛyɛdeɛ mmrɛ Ɔbaako a ɛsɛ sɛ wɔsuro noɔ no.
te ragaluñu Yàlla.
1.182688
Kɛzi menli mɔɔ le dahuu azonvolɛ la te nganeɛ wɔ moalɛ nee anwosesebɛ mɔɔ awie mɔ fa maa bɛ la anwo ɛ?
Ku leen di déglu ba di leen gëm ?
1.182101
ɛyɛ amanehunu ne ɔsɛeɛ ɛda,
Lu jëm ci bésub Mucc ak bési Mburu mu amul lawiir
1.181998
Nengyene ɔ mɛŋ kii sɔrɔ berɛ mɔ, pɛi de ɔ' lɔɔ wɔra ɔŋɛfuɛsɛ.' "
Ndaxte dinaa leen baal seeni tooñ,te dootuma fàttaliku seeni bàkkaar."
1.180042
wodaa berɛ bɛn?
yo soy dormilona.
1.179743
Adԑn na wo hwԑ me saa,
tax nga ñu seexlu ma;
1.179358
56Maria tenaa Elisabet nkyɛn bɛyɛ abosome mmiɛnsa ansa na ɔresane akɔ ne kurom.
56 Maryaama toog na fa Elisabet lu wara tollook ñetti weer, sooga ñibbi.
1.178184
8Saa ɛda no, nkwa nsuo bɛtene afiri Yerusalem.
8 Bésub keroog Yerusalem la ndox muy dund di wale,
1.177247
Yesu kae sԑ:" Meyԑ ᴐkwan ne nokware ne nkwa na obiara ntumi mma Agya no nkyԑn gye sԑ ᴐnam Me so-Yohane 14:6.
Yeesu ne ko, "Man maay yoon wi, maay dëgg te dund it man la.
1.177187
11 Ma yɛn yɛn daa aduane nnɛ, 12 na fa yɛn aka firi yɛn, sɛdeɛ yɛdɛ firi wɔn a wɔde yɛn aka.
11 Yal nanga nu may tey li nu dunde;
1.17543
Na Ͻbᴐfo no kasae kae kyerԑ wᴐn a wogyina gyina nkyԑn no sԑ munyi atade fī no mfi ne ho.
Ci wàllu malaaka yi, lii la ci Yàlla wax:"Def na malaakaam yi, ñu mel ni ay ngelaw,ñooñu koy liggéeyal, mu def leen niki safara."
1.175231
nkrofuo no se, "Mo ahunu se adie a y'aye ama ye'wura, aduane mpo ato sese
13 Waaye Yeesu ne leen: "Joxleen leen lu ñu lekk."
1.174899
Bie mɔ ɛdu ɛhɔ ɛleka mɔɔ bɛka aneɛ gyɛne la bɛlɛsonle wɔ ɛkɛ.
Nit ñi menu ñoo waxtaan ndax seen làkk yu wuute yi.
1.174387
Na sԑ yԑ ware a
bi nu feeñalee
1.174062
18Yohane asuafoɔ kɔbɔɔ no deɛ asi no nyinaa ho amaneɛ.
18 Taalibey Yaxya ya nettali mbir yooyu yépp seen kilifa.
1.17318
Adԑn na wo hwԑ me saa,
Lu tax nga seetaan ma?
1.172915
Yeah, sika yԑ abrantia
xaalis daal neex na!
1.171024
ɛfiri sɛ, monim deɛ ɔte ase firi ahyɛaseɛ no.
ndax xam ngeen ki nekkoon ca njàlbéen ga ba tey.
1.170061
11 Ma yɛn yɛn daa aduane nnɛ, 12 na fa yɛn aka firi yɛn, sɛdeɛ yɛdɛ firi wɔn a wɔde yɛn aka.
Yal nanga nu may tey li nu dunde;
1.169891
ne ɔhaw ahodoɔ a ɔgyinaa ano no.
ak gépp njàqareem.
1.169425
Asekyerԑ ne sԑn?
Lu baat bi tekki?
1.169416
Menli mɔɔ bɛnze nwoma la a Belemgbunli ne ɛlɛmaa bɛahɛlɛ mbuluku dɔɔnwo, bɛahile ɔ bo na bɛahyɛ ye wɔ ewiade amuala a!
Ku rafet kàddu, te xam Mbind mi lool.
1.16874
odo wone m'adie nyinaa (Adie Nyinaa)
Kon boo ma màggalee, dinga moom lépp."
1.168593
Na sԑ yԑ ware a
bi nu duloon jaada
1.168459
dodoɔ sɛn? how many? wowɔ mma dodoɔ sɛn?
BD Ñaata doom ngeen am?
1.167343
19Sɛdeɛ na wɔtaa yɛ no, anwummerɛ no ara, wɔfirii kuro no mu.
19 Bi timis jotee Yeesu ak taalibe yi génn dëkk bi.
1.167069
^ Ɛhye kile, ye abɔdeɛ muala wɔ.
Lépp ci moom lees ko sàkke, te mooy ki tax ñu sàkk lépp.
1.167008
"Ɛfiri saa ɛberɛ yi de rekorɔ mɛka nneɛma foforɔ akyerɛ mo,
Bés niki tey dinaa leen yégal lu bees,
1.166419
Me wɔ asԑm bi ka kyerԑ Wo
Am naa benn laaj.
1.166004
ɛberɛ a wɔsu frɛɛ noɔ no;
bi ñu jaamuulee
1.165755
Duzu ati a ɔhyia kɛ ɛsie ɛ nwo wɔ Nyamenle ɛlɔlɛ nu a?
Lu tax sax ci mbëggeelu Yàlla am solo lool ?
1.165092
4 Beaɛ a menyaa mmoa firiiɛ.
4 Damaa liggéey lu réy.
1.165036
Na sԑ yԑ ware a
bu nu ñêkulee
1.164894
19Mebisa bio sɛ, Israelfoɔ te aseɛ anaa wɔante aseɛ?
19 Ma neeti: xanaa bànni Israyil dañoo xamul?
1.164079
39Yesu kaa sɛ, "Mebaa ewiase ha sɛ merebɛbu atɛn, na mama wɔn a wɔyɛ anifirafoɔ no ahunu adeɛ, na makyerɛ wɔn a wɔgye di sɛ wɔhunu adeɛ no sɛ, wɔyɛ anifirafoɔ."
9:39 Yeesu ne ko: "Àttee ma tax a ñëw àddina, ngir ñi gumba gis, ñiy gis gumba."
1.163986
46"Na wɔbɛkɔ ahoyera a ɛtoɔ ntwa da mu, na ateneneefoɔ akɔ nkwa a ɛnni awieeɛ mu."
25:46 Noonu ñii dinañu sóobu ci mbugal gu dul jeex, waaye ñi jub dinañu tàbbi ci dund gu dul jeex."
1.163125
Na sԑ yԑ ware a
bu nu feeñalulee
1.162886
Na sԑ yԑ ware a
bu nu feeñalee
1.162857
Deɛ asraafoɔ no yɛeɛ ne no.
Loolu nag la xarekat ya def.
1.162484
Kɛmɔ bɛ nye sɔ nwolɛ adenle mɔɔ bɛlɛ bɛtete ngakula ne mɔ wɔ Nyamenle adenle zo la ati, bɛdie bɛto nu kɛ saa wovolɛ ne mɔɔ ɔnle Dasevolɛ la kulo a ɔbaboa wɔ ngakula ne mɔ ɛtetelɛ nu.
Ni ngeen di wonee mbëggeel bi ngeen am ci Yàlla dafay laal bu baax seen xolu doom yi.
1.162483
na ɛyɛɛ me sɛdeɛ wɔrewie me.
bi li fas ci ni ra ni.
1.162382
12Asuafoɔ no ka kyerɛɛ Yesu sɛ, "Awurade, sɛ wada deɛ a, ɛnneɛ na ne ho bɛtɔ no." 13Na Yesu kyerɛ sɛ Lasaro awu, nanso asuafoɔ no deɛ, na wɔsusu sɛ nna ara na wada.
12 Taalibe ya ne ko: "Boroom bi, bu nelawee kay, kon dina wér."
1.162301
13Na metee sɛ abɔdeɛ a wɔwɔ ɔsoro, asase so, asase ase ne abɔdeɛ biara a wɔwɔ ɛpo mu ne abɔdeɛ biara a wɔwɔ ewiase nyinaa reto dwom sɛ,
13 Ma dégg itam mbindeef, yi nekk ci asamaan, ci kaw suuf, ci biir suuf, ci géej gi,- mbindeef yépp naan:
1.161689
9Ampa ara, ne nkwagyeɛ bɛne wɔn a wɔsuro no,
50 Day wàcce yërmandeem ci ñi ko ragal,
1.161513
nanso Mose a ɔyɛ deɛ wapa noɔ no
ci rawante bi Musaa mooy ki njëkk a àgg
1.160444
Kakye kɛ, bɛdole Pɔɔlo efiade wɔ Sizalia ɛvolɛ nwiɔ.
Yaa ngi fàttaliku ne Pool toog na kaso ñaari at ca Sesare.
1.160129
Kɛzi 'nɔhalɛ ndelebɛbo' ɛyɛ kpole wɔ "awieleɛ mekɛ" ɛhye anu ɛ?
Naka la " xam-xam dëgg " baree ci " muju jamono " jii?
1.160082
iih noeiih noaiih noiiih nooiih nodiih nohiih noniih noriih nosiih notiih nouiih noyiih nociih nofiih nogiih noliih nojiih nomiih nowiih nobiih noviih nokiih noxiih nopiih noqiih noz
Nóoyin nit ku jub la woon, di ku mat ci biir nit ñi mu bokkal jamono, te di ku topp Yàlla.
1.160081
Na sԑ yԑ ware a
bi nu ñówee
1.159126
56Maria tenaa Elisabet nkyɛn bɛyɛ abosome mmiɛnsa ansa na ɔresane akɔ ne kurom.
1:56 Noonu Maryaama toog fa Elisabet lu war a tollook ñetti weer, sog a ñibbi.
1.159016
Na sԑ yԑ ware a
... lanu mbokuloon
1.158706
oh ho ho ho ho yess! it's funny because it's trueee!
Waaaay tooo true!
1.158536
22Pilato kaa sɛ, "Deɛ matwerɛ no, matwerɛ."
22 Pilaat ne leen: "Xas naa koo bind, du deñ."
1.158397
Asekyerԑ ne sԑn?
Lan la loolu di tekki?
1.158376
Ɛnnԑ anwumerԑ yi
ci ci tonight
1.158225
Na sԑ yԑ ware a
bu nu nammulee
1.158165
ma nsupɔ ahodoɔ nsɛpɛ wɔn ho.
Aatte islaam yi
1.15731
Tisane thym bebe quel age.
Hammmm T'as quel ageee ?
1.156945
nkrofuo no se, "Mo ahunu se adie a y'aye ama ye'wura, aduane mpo ato sese
Musaa ne leen: "Lii mooy ñam wi leen Aji Sax ji jox, ngeen lekk.
1.156559
Ebɛnadze ntsi na Jesus baa asaase do?
Lu tax Yeesu ñëw ci kaw suuf?
1.156379
Papaa, ka kyerԑ meԑ
Yaaay, go me!
1.156293
Me wɔ asԑm bi ka kyerԑ Wo
Man naa la wax dara ?
1.155952
berɛ bɛn? when?
Ba kañ nag ?
1.155912
Mɔɔ ye awovolɛ dele mɔɔ bɛ ra raalɛ ne ɛyɛ la, kɛzi bɛdele nganeɛ ɛ?
Lan la ko yaayam wax mu def ?
1.155843
Awurade bobom wɔ nsuo akɛseɛ so.
Yàlla na ci Yàlla wis ndox mu sedd.
1.155656
na ɛyɛɛ me sɛdeɛ wɔrewie me.
Terminatief naa dinaa nanu dinanu
1.155489
Kɛ́ wɔjwɛŋ Nyɔŋmɔ suɔmɔ lɛ nɔ lɛ, mɛni no baakanya wɔ ni wɔfee?
luy doon muju ki weddi te dëng?"
1.15543
Adehyeɛ means royalty.
Nguur dafay am buur.
1.155376
39Yudafoɔ no annye anni ɛfiri sɛ, na Odiyifoɔ Yesaia asane aka sɛ,
39 Manuñu woona gëm, ndaxte Esayi dafa waxaat ne:
1.154683
ɛberɛ a ananafoɔ biara nni hɔ):
jaare ko ci ay doxandéem.
1.154223
3 years ago, na eduane yɛ challenge
raaj raaj 3 years ago
1.154091
Na sԑ yԑ ware a
Te bu nu noonoo bu nu xeex
1.153721
- oh no no, oh hell yea
Yeaaaah fuckkk
1.152585
Eat dinner - Di anwumerɛ aduane
xamoniame - dinner
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Akan-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: Akan-Wolof_Sentence-Pairs
  • Number of Rows: 39026
  • Number of Columns: 3
  • Columns: score, Akan, Wolof

Dataset Description

The dataset contains sentence pairs in African languages with an associated similarity score. Each row consists of three columns:

  1. score: The similarity score between the two sentences (range from 0 to 1).
  2. Akan: The first sentence in the pair (language 1).
  3. 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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