score float32 1.04 1.25 | Bemba stringlengths 10 491 | Fulah stringlengths 10 438 |
|---|---|---|
1.24956 | Pantu abapiina mwaba na bo lyonse, lelo tamwakabe na ine lyonse. | 8 Koo ndeye on ngondi e ɓe ngalanaa nder mooɗon, ammaa min, carel e wara ngel alaymi'on." |
1.236144 | 3 Naashi tave shi mu ningile, osheshi inava shiiva Tate, vo kave shii nge. | 3 Yimɓe ngaɗanay'on non ngam ɓe andaa Nyaako Mo Dow, ɓe andaayam. |
1.230576 | Kani wakunjipaya koti nifyefyo waipeye ulya umuIjipiti?' | A yiɗi mbarugo yam bana mbarduɗa Misraajo na?" |
1.221033 | Uzye ukulonda ungumoole wakwe vino umoozile umwina Eguputo?' | A yiɗi mbarugo yam bana mbarduɗa Misraajo na?" |
1.220742 | 8Yoani wena tali lubuuto. | 8Naa' kanko woni jayngol ngol. |
1.215657 | Bushe ulefwaya ukunjipaya nga filya waipeye umwina Egupto?" | A yiɗi mbarugo yam bana mbarduɗa Misraajo na?" |
1.213779 | 15"Nga mwalintemwa, mulesunga amafunde yandi. | 15 "To on ngiɗiyam, on ngaɗay ko mbiimi ngaɗon. |
1.209187 | " Ine ndetasha Lesa wandi, ine ndasosa ne ndimi ukucila imwe bonse " . | 18 Mi ɗon yetta Allah ngam mi ɓuri on fuu wolwugo bee ɗemɗe ɗe anndaaka. |
1.209187 | " Ine ndetasha Lesa wandi, ine ndasosa ne ndimi ukucila imwe bonse " . | 18 Mi ɗon yetta Allah ngam mi ɓuri on fuu wolwugo bee ɗemɗe ɗe anndaaka. |
1.20625 | 8Yoani wena tali lubuuto. | 8 Naa' kanko woni jayngol ngol. |
1.202153 | Ino Yesu webalondolola bintu byebatenga amba: "Shi mwadi bana ba Abalahama, mwadi ba kulonga mingilo ya Abalahama." | Yeesu wi'iɓe, "Daa on ɓiɓɓe Ibraahim, on ngaɗay ko Ibraahim waɗi. |
1.200984 | 13 Banwe banabetu, kemwakitulumukai shi ino ntanda imushikilwe. | 13 Banniraaɓe, to on kayɗinee to himɓe duuniyaaru wanyii on. |
1.200526 | Mishi ya CiKam mu Cyena Ntu, | hakkunde leɗɗe diw-diwni, |
1.193299 | Efile atumbishibwe, | lol He has DEATH! (dum dum dum dum!) |
1.192665 | Lelo nalimweba, nati, ukumona mwalimona nomba tamusumina. . . . | 36 Ammaa no mbiimi'on, on ngi'iiyam, fuu e non on koolaakiyam. |
1.191455 | Wishi alitemwa Umwana kabili napeela fyonse mu minwe yakwe. | 35 Nyaako Mo Dow e yiɗi Ɓiɗɗo muuɗum, o waɗii koo ɗume nder juuɗe maako. |
1.190703 | 11 Atupe uwe lelo yakulya yetu ya lelo. | 11 Hokku min nyaamannde heƴeynde min hannde. |
1.187451 | Pa kulekelesha Yesu atile: "Nga mwalitetekele Mose nga mwalintetekela na ine, pantu ulya alembele pali ine. | 46 Daa on koolakeno Muusa e goonga, daa on koolakeyam, ngam dow am o windi. |
1.186629 | 3 Ino bakalonga bino'bi mwanda kebayukilepo Tata | 3 Yimɓe ngaɗanay'on non ngam ɓe andaa Nyaako Mo Dow, ɓe andaayam. |
1.180664 | Uku e kufwaya kwa wantumine, ukuti nilufyapo nangu umo pali bonse abo ampeela lelo ukuti nkababuushe bonse pa bushiku bwa kulekelesha. | 39 Ko liloyɗoyam yiɗi mi waɗa woni, to' mi dulla koo go'oto nder ɓe o hokkiyam, ammaa mi umminaɓe Nyalnde Jaango. |
1.180561 | Bonse tulafwaya ukuba ne nsansa. | All wanna be happy. |
1.180006 | kosake kungipaya nami mowaipaile mwine Edipito kesha, a?' | A yiɗi mbarugo yam bana mbarduɗa Misraajo na?" |
1.178071 | Takuli uwingesa kuli ine kano Tata uwantumine, amukula; kabili nkamubuusha mu bushiku bwa kulekelesha. | 44 Walaa garayɗo to am sey to Nyaako am liloyɗoyam waddiimo, min boo mi umminaymo Nyalnde Jaango. |
1.17768 | Leka kulya mali yachikolo, igwasya bana, | to'amɓe ndi daaɗe e ɓii laawol. |
1.176852 | 25 A banabetu, endelelai kwitulombelela'ko. | 25 Sakiraaɓe, miɗen ŋaaroo on du'aare. |
1.176829 | Inga iwe bushe walisumina ukuti e ko aba?" | Hiɗa hoolii ɗun?" |
1.176368 | Takwabako bambi? | goɗɗo feere na? |
1.176025 | 36 Penepo shi Mwana wemupe bwanapabo, nankyo mukekala bine banapabo. | 36 Ngam non to Ɓiɗɗo on rimɗinii'on, on keɓii rimɗineeki ki goonga. |
1.175967 | Kuli Iya Mue ku Tala? | Moye ndaarataa? |
1.175964 | Ico nafumina ku muulu te ku kucita ukufwaya kwandi, lelo ni ku kucita ukufwaya kwa wantumine. | 38 Ngam mi waroyii daga dow naa' ngam mi waɗa ko ngiɗumi, ammaa mi waɗa ko liloyɗoyam yiɗi. |
1.174392 | 10 Penepa bana ba bwanga bajokela kwabo. | 10 Sey tokkuɓe Yeesu ɓen co " i gure maɓɓe. |
1.172882 | Kebasapwila mwana-mukaji amba: "Ketukitabijepo'tu pa mwanda wa byowanenene; mwanda tubeivwanina batwe bene kadi tubayuka'mba uno muntu'u bine i umpandiji wa ino ntanda." | 42 Ɓe mbi'i debbo on, "Jooni min koolake Yeesu, naa' ngam ko mbiiɗaa tan, ammaa ngam minon e ko'e amin min nanii ko o wi'i, min tabbitinii kanko woni Kisnoowo duuniyaaru." |
1.17195 | E ico ine, ne Shikulwi new kabili kasambilisha wenu, nga musambile amakasa, na imwe mufwile ukusambana amakasa. | 14 Jooni, nde min, mawɗo mooɗon e moodibbo mooɗon, mi lootii koyɗe mooɗon, onon maa e haani lootindiron koyɗe. |
1.171948 | 24 Kutula lolo mpaka lelo temunalombe kantu mu Liina lyane. | 24 Faa jo'oni walaa ko toriiɗon nder innde am tawo. |
1.171802 | Lino nokucaambwa kuti, Buno buzuba, kuti nywebo mwalimvwa jwi Lyakwe, mutayumyi myoyo yenu, mbuli mbumwaacitidie nimwakazanga.... | 15 Ndaa ko deftere Allah wi'i: "To on nani sawtu Allah hande, taa cattine ko'e mooɗon bana kaakaaji mon tuurtanno Allah." |
1.1703 | 36 Simoni ni babena nabo babali kumusakasaka. | 36 Simon e wonduɓe e muuɗum ina piloo mo. |
1.169958 | 36 Simoni ni babena nabo babali kumusakasaka. | 36 Simon e wonduɓe bee muuɗum taasni mo, ɓe ɗaɓɓiti mo. |
1.168659 | 24 "Ino malwa enu banwe bampeta, mwanda mubamone kala | 24 "Ammaa bone laatanto on, onon riskuɓe, ngam on keɓi hayru mooɗon. |
1.167687 | yo this fye ! | Ko ɗuum tan ! |
1.16695 | 20 Pantu ukuli babili nelyo batatu abalonganina mwi shina lyandi,+ ninshi na ine ndi pa kati kabo."+ | 20 Ngam haa yimɓe ɗiɗo koo tato kawti ngam innde am fuu, mi ɗon caka maɓɓe." |
1.166561 | Pakuti onse uwamusumina, ekaloba, lelo akwate umweo wape. ' | Koo moye kooliiɗoyam, koo o maayii, o fuɗɗitay o waɗa yonki. |
1.16562 | 17 Ilyo bakamwene, bashimike ifyo malaika abebele pali uyu mwana. | 17 Nde ɓe ngi'i ngel, ɓe ngecci ko malaa'ikaajo wi'no ɓe dow maagel. |
1.165124 | 7 Mwabi kwi'bo be na lusa, mwanda abakakwatshilwa lusa. | 7 "Ɓe barkiɗinaaɓe jurminanooɓe yimɓe, ngam kamɓe maa ɗum yurminanayɓe. |
1.164768 | We Shifwe, Our Father We shifwe, uwaba mu mulu, ishina lyobe licindikwe, ubufumu bobe bwise, fyonse ifyo watemwa fibe muno calo nga mu mulu. | 10 Laamu maaɗa wara, ko ngiɗɗaa waɗee nder duuniyaaru, no ɗum waɗirtee e dow. |
1.163949 | Mwafuma bundengamambo ne malwa, | And (O, ye wandering, wan and wayward feet, |
1.163932 | BaYawe ni baLesa ba makosa onse, kabili e balengele ifintu fyonse. | Ammaa ɓe ɗiɗo fuu ɓe iwi haa Allah, tagɗo kuuje fuu. |
1.163254 | Bengali Seed Bipasha Basu, | hakkunde leɗɗe diw-diwni, |
1.161373 | Balipaalwa abomfwa insala ne cilaka ca bulungami, pantu bakekuta. . . . | 6 "Ɓe barkiɗinaaɓe nanooɓe weelo e ɗonka waɗuki aadilaaku, ngam ɓe karneteeɓe. |
1.161035 | Mba niisa impese iiweme baYehova batupeele, kabili mba nindo twelelwe ukuicindamikila? | Mee hagalee belee hagamehede i di Laangi Sabad?" |
1.160767 | 18 Nkisambilangapo pa banwe bonso; | 18 "Naa' dow mooɗon on fuu metaymi. |
1.160716 | 1Ukufumafye ku citendekelo, Lishiwi eko ali. | 1 Diga fuɗɗoode, bi'eteeɗo Haala e wonunoo. |
1.160685 | Ubufumu boobe bwise, fyonse ifyo watemwa fileecitika pano caalo ngafilya caba mumuulu. | 10 Laamu maaɗa wara, ko ngiɗɗaa waɗee nder duuniyaaru, no ɗum waɗirtee e dow. |
1.160683 | 32 Uno Yesu'u Leza wamusangwile, kadi batwe bonso twi batumoni ba uno mwanda. | 32 Yeesu oo, Allah ummitini mo diga maayde, min fuu min ɗon ceedo haala ka. |
1.160461 | "Ine nalimucindamika pano isonde, pantu nimpwisha umulimo uo mwampeele ukubomba. | 4 Mi teddiniima nder duuniyaaru, mi yottinii kuugal ngal kokkuɗaayam. |
1.159173 | 37 Nmanine nangue muli ba mu luvyalo lwakua Abrahamu, inzi muumiine kungipaya pantu temulimwapokelela keebo kane. | 37 E mi andi on taaniraaɓe Ibraahim, fuu e non on ɗaɓɓita warkiyam, ngam on njaɓaayi ekkitinol am. |
1.158146 | pa kuvua kintu kya makilometele atano nansha asamba, bamona Yesu utantala pa dijiba kafwena dya ku bwato; nabo bakwatwa moyo. | 19 Nde ɓe laanyi koombowal baakin kilomeeta jowi malla joweego, ɓe ngi'i Yeesu ɗon ɓadito koombowal, o ɗon yaha dow ndiyam bee kosɗe, ɓe kultori. |
1.157371 | Leza ulakusulaika kulekana kwabumpelenge. | Allah ɗon hakkilana en gootel gootel. |
1.156978 | 2Yesu na basambi bakwe nabo balibalalike ku bwinga. | 2 Yeesu e tokkuɓemo maa kumpitaama humto teegal ngal. |
1.156426 | 9 Alimwi bantu boonse bakamubona keenda akutembaula Leza. | 9 Yimɓe fuu ngi'i o ɗon yaha, o ɗon yetta Allah. |
1.156379 | 5 Kwaali muntu umo waali ni bulwele bwaakokwele myaka 38 . | 5 E woodi goɗɗo neɗɗo ɗon gaɗɗo duuɓi 38 e nyawa. |
1.156086 | 26 Kutula bobo busiku mwaakaba mwalomba mu Liina lyane. | 26 E nden ɗon nyalnde on toroto nder inde am. |
1.15558 | Insanlenn yasami icin, | From Warnemünde to Warnemünde |
1.155506 | 4Muli Lishiwi mwaba umweo, noyu mweo waba ulubuuto ku bantu. | 4 E ma'are yonki woni, yonki ɗuum laatii jayngol yimɓe. |
1.155358 | 1 "Tekusakamane mu mitima yenu, muketekele Leza, munketekele ni nene wenka. | 1 Yeesu wi'iɓe, "To' on ngannu nder ɓerɗe mooɗon, koolee Allah, kooleeyam. |
1.155324 | mu kifungo pamo bwa banwe bakutyilwe nabo, ne boba bamweshibwa malwa, mwanda nenu mudi | be commensurable, be comparable, be like, be redolent of, |
1.1553 | Naleumfwa kwati naba mu lupwa ulukalamba ulwantemwa sana. | Mi laatinan mo ummaatoore mawnde. |
1.155051 | alaba, a li: "Ni mi bulelela niti, kuli: Abrahama a si ka pepwa kale, na, ne ni | Yeesu vi'i ɓe: - Kul e Ibraahim iɓnooɗon, daa on kuwii kuuɗe Ibraahim. |
1.155017 | Wishi alitemwa Umwana kabili napeela fyonse mu minwe yakwe. | 35 Baabiraawo e yiɗi Ɓiɗɗo, faa o waɗii koo ɗume fuu nder juuɗe ma'ako. |
1.153123 | Awe mama, mwilaumfwo lunshingwa iyo. | # Mamma, mamma, don't be so down. |
1.153023 | 25Kabili talekabila ukuti kube uwakumweba ifyo abantu baba, pantu umwine wine alishiba ifyaba mu mitima ya bantu. | 25 O walaa haaje goɗɗo anndina mo haala yimɓe, ngam o anndi ko woni nder ɓerɗe maɓɓe. |
1.152803 | Banwe bana, kokelai bambutwile benu umbumo na Mfumwetu, mwanda kino'ki i kyolo ̄ | 1 Onon sukaaɓe, ɗowtanee saareeji mooɗon, gam sabbu Joomiraawo, kanjum laatii ko fotti. |
1.152784 | mwanda mwadi nami tamba ponashilwile. | - Mi haalanaali on gila arannde sabi miɗo wondi e mon. |
1.152745 | "Nemusoñanya bino'bi, amba mwisanswe banwe bene na bene. | 17 Ko mbiimi ngaɗon woni, ngiɗindiree. |
1.152635 | Tali ni Aloni na nebo fwe bakumufumisyeni amenda mu cibwe ici?' | hanne min nun laatii Baaba maa✡?" |
1.152504 | 30 "Ino bavule babajinji bakekala ba mfulo, ba mfulo nabo babajinji. | 30 Ammaa ɗuuɗɓe aartuɓe jonta laatoto sakitiiɓe, ɗuuɗɓe sakitiiɓe jonta boo laatoto aartuɓe." |
1.152379 | 2Lishiwi ali pamo na Lesa ukufumafye ku citendekelo. | 2 Daga ko duuniyaaru tagee bi'eteeɗo Wolde on e wondi e Allah. |
1.152214 | Pano Mose alimubuulile ati: "Uli ne cikani pakuti pali nebo? | Muusa wi'i ɓe: "Nane le, onon tuurtooɓe! |
1.151924 | Stimabila Bebelusha, | hakkunde leɗɗe diw-diwni, |
1.151814 | Yesu waabaanine, "Ale mukakule aye." 45 Bayuda bengi baali baile ku kufwinika Maria lubaamwene bintu byaakitile Yesu, baamuketekeele. | 45 Ɗuuɗɓe nder Yahuudu'en warnooɓe to Maryaama, ngi'i ko Yeesu waɗi, ɓe ngoonɗini mo. |
1.151623 | 23Mu nshita itali ine iyo emo imfumu ya mu Egupto yafwilile. | 23 Ɓaawo duuɓi ɗuuɗɗi laamiiɗo Misra maayi. |
1.151003 | Wamona nomba nabakashana baleka nokuchetekela, | Ko ɗum tagi ñaawooɓe ɓee wiyde koolaaki ko o haali koo. |
1.150959 | 4 Na su alwisha malwisha musambobidi kwifuku dimune, na su eyalula kodi mashisa musambobidi eshi, Nemwesha, obe onomulekyele. | 4 To o waɗi ma aybe nde joweeɗiɗi nder nyalde, o ɗon wara haa maaɗa boo nde joweeɗiɗi man fuu, o wi'a: Mi tuubi, a yaafo mo." |
1.150472 | 21 Nupwandjikishe mianda yoso; nulamate kwi mwanda wi buwa. | 21 Linye kuuje fuu, njogite ko wooɗi. |
1.149616 | 12 Ino'i yo mbila yami, amba mwisanswei banwe bene na bene monka monemusanshilwe. | 12 Ndaa umroore am: Ngiɗindire bana no mi yiɗiri on. |
1.149358 | Nkilombangapo amba wibatalule mu ino ntanda, aa, ino i amba wibalame mwanda wa yewa mubi. | 15 Naa' e mi toromaa ngam ittaaɓe nder duuniyaaru, ammaa e mi toromaa ngam curaaɓe daga on ɗon Kalluɗo. |
1.149293 | Banwe bakōke ne balēmenenwe, | And (O, ye wandering, wan and wayward feet, |
1.148934 | 2Mu ŋanda mwa Tata mwaba ififulo fyakwikalamo ifingi. | 2 Nder wuro Nyaako am Mo Dow e woodi cuuɗi ɗuɗɗi. |
1.148816 | 2Mu ŋanda mwa Tata mwaba ififulo fyakwikalamo ifingi. | 2 E woodi cuuɗi ɗuuɗɗi nder wuro Baaba am. |
1.148783 | Ikwakwakwakwa, na dem, | And (O, ye wandering, wan and wayward feet, |
1.148678 | 11 Atupe uwe lelo yakulya yetu ya lelo. | Hokku min nyaamdu deydey |
1.148639 | (Luka 22:19) Ciibalusyo citobela ciyoocitwa muli: | (Luuka 22:19) Ko arata, ɗun waɗay e: |
1.148572 | 4Ka ce onoŋo nen ni myero an bene aciti, ci wabicito kacel kwedgi. | 4 To fotii mi yaha min e hoore am, ɓe jaadan e am. |
1.148334 | Kabili ilyo wene alekele ukulya pa nshiku amakumi yane akasuba no bushiku, wene panuma aumfwile insala. | 2 Yeesu nyaamaay sam nyalawmaaje cappanɗe nayi e jemmaaje cappanɗe nayi, o maati weelo. |
1.148258 | 18 Bamo i bayule mitatulo ulanga'mba bine nkisapo kwiya komudi. | 18 Woɗɓe mon mawniti ngam ɓe tammi mi warataa haa mooɗon. |
1.148219 | 2Kanshi aba basano ni mpelwamano, elyo basano nabo bena bamano. | 2 Njowo nder maɓɓe faataaɓe, njowo luttuɓe boo marɓe faamu. |
1.148013 | " Imwe nga mwatetekela Mose, imwe nga mwalitetekela ine, pantu wene alembele palwa ine. | 46 Daa on koolakeno Muusa e goonga, daa on koolakeyam, ngam dow am o windi. |
1.148013 | " Imwe nga mwatetekela Mose, imwe nga mwalitetekela ine, pantu wene alembele palwa ine. | 46 Daa on koolakeno Muusa e goonga, daa on koolakeyam, ngam dow am o windi. |
1.147908 | Ubufumu bobe bwise, Fyonse fyo watemwa fibe muno calo nga mu mulu. | 10 Laamu maaɗa wara, ko ngiɗɗaa waɗee nder duuniyaaru, no ɗum waɗirtee e dow. |
1.147847 | Pali lelo mu Indonesia mwaba abantu nalimo 260,000,000. | Labe no jogii hannde 280.000 yimɓe. |
1.147664 | 14 Kyonse kimwaakaba mwalomba mu Liina lyane, naakaba namipeela. | 14 To on torakeyam koo ɗume nder inde am, mi waɗayɗum. |
Bemba-Fulah_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: Bemba-Fulah_Sentence-Pairs
- Number of Rows: 48062
- Number of Columns: 3
- Columns: score, Bemba, Fulah
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).Bemba: The first sentence in the pair (language 1).Fulah: 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
- 14