score
float32 1.04
1.25
| Lingala
stringlengths 10
498
| Tumbuka
stringlengths 8
499
|
|---|---|---|
1.249834
|
Kasi ayebisaki bango ete: 'Moto oyo aleki ngai azali koya.
|
Kweni iyo wakaŵaphalira kuti: 'Wakwiza munyake uyo ni mulara chomene kwa ine.
|
1.24974
|
"Bóyokisana nkanda na nzela te."
|
"Mungambananga yayi mu nthowa."
|
1.249674
|
Tokoki kozala na lisosoli ya pɛto na miso ya Nzambe.
|
Tingaŵa na njuŵi yituŵa pamaso pa Chiuta.
|
1.249673
|
Natikaki kondimela Nzambe na 2002.
|
Mu 2002, nkhaleka kumugomezga Chiuta.
|
1.249582
|
Nalobaki ete, "Nasilisi kotánga yango nyonso."
|
Ine nkhati: "Nili kuŵazga kale lose."
|
1.24952
|
Natángaki yango kaka na butu wana.
|
Nkhaliŵerenga usiku wenewura.
|
1.249468
|
Yango wana moto oyo akabi ngai epai na yo azali na lisumu oyo eleki monene."
|
Lekani uyo wanipeleka kwa imwe wali na kwananga kukuru."
|
1.249447
|
Nani kati na bino soki alingi kotonga ndako ya etaze, liboso akovanda te mpo na koluka koyeba soki ndako yango ekosenga ye mbongo boni, mpe akotala te soki azali na mbongo oyo ekokoka kosilisa misala nyonso?
|
"Ni njani wa imwe uyo wakukhumba kuzenga chigongwe kwambura kukhala dankha pasi na kupendesera mtengo, kuti wawone usange wali na ndalama zakukwana kuti wachimalizge?
|
1.249445
|
Tosalaka mabunga mokolo na mokolo.
|
Zuŵa lililose tikubudiska.
|
1.249429
|
Ayebisaki bantoma na ye ete: "Bozali baninga na ngai soki bozali kosala makambo oyo nazali kopesa bino mitindo."
|
Yesu wakaphalira ŵapositole ŵake kuti: "Imwe muli ŵabwezi ŵane usange mukucita ivyo nkhumulangurani."
|
1.249412
|
"Okolela Saulo kino ntango nini?"
|
'Unalira Sauli Mpaka Lini?'
|
1.249411
|
Moyengebene akimaka mpo na kokɔta kuna mpe azwaka libateli."
|
Murunji wakuchimbilira kwenekuko na kuvikilirika.*+
|
1.249274
|
"Moto moko te oyo afandi kuna akoloba: 'Nazali na maladi.'"
|
Pa nyengo iyo, "pazamuŵavya munthu wakukhala mu charu uyo wazamuti: 'Nalwara.'" - Yes.
|
1.249238
|
Yango elingi nde koloba ete baanzelu basalisaka bato te?
|
Kasi fundo iyi yikulongora kuti ŵangelo ŵakovwira yayi ŵanthu?
|
1.249197
|
'Nauti epai ya Nzambe mpe nazali awa.
|
"Nili kufuma kwa Chiuta ndipo nili pano.
|
1.249174
|
Tango mosusu bakoki kondima kokufa po na moto ya malamu.
|
Pakuti ni viŵi chara kuti munthu wafwire murunji; nadi, panyake yunji wangachita chikanga kuti wafwire munthu muwemi.
|
1.249119
|
Mpo ozwá mibali mitano, mpe oyo ozali na ye sikoyo azali mobali na yo te.'
|
Kweni uli kutengwapo ku ŵanalume ŵankhondi, ndipo uyo wuli nayo sono kuti ni mfumu wako cara.'
|
1.249109
|
kasi balata misala ya malamu, oyo ekoki epai na basi oyo balobaka ete basambelaka Nzambe.
|
Kweni ŵajitozgenge mwakwenelera nga mbanakazi awo ŵakuti ŵakusopa Chiuta, kwizira mu milimo yiwemi." (1 Tim.
|
1.248997
|
Pamba te moto moko te na kati na bino akobungisa ata suki moko ya motu na ye.
|
Pakuti nanga ni sisi limoza la pa mutu winu litayikenge yayi."
|
1.248962
|
Moto nyonso oyo akogumbama te akobwakama na litumbu ya mɔtɔ.'
|
Waliyose uyo waleka kupulikira, wakeneranga kuponyeka mu ng'anjo ya moto.
|
1.24896
|
Moize atunaki Yehova boye: "Ngai nazali nani mpo nakende epai ya Farao mpe mpo nabimisa bana ya Yisraele na Ezipito?"
|
Mphake kuti Mozesi wakafumba Yehova kuti: "Kasi ndine njani ine kuti ndilute kwa Faro, na kuti ndifumiske Ŵaisrayeli mu Eguputo?"
|
1.248901
|
Te, tosengeli kosambela bililingi te.
|
Yayi, tikwenera yayi kusopa vikozgo.
|
1.248852
|
55 Pamba te, nzoto na ngai ezali bilei ya solo, mpe makila na ngai ezali eloko ya komela ya solo.
|
Pakuti thupi lane ntchakurya cheneko, ndipo ndopa zane ntchakumwa cheneko.
|
1.248795
|
"Bótala soki makambo yango ezali bongo"
|
'Wonani Usange Vinthu Ivi Ndimo Viliri'
|
1.248573
|
Nani moto aleki ntina na bomoi na yo?
|
Kasi Ni Njani Uyo Ngwakuzirwa Chomene pa Umoyo Winu?
|
1.248509
|
Na 1978, ntango Maria akómaki na mbula 45, azwaki lisusu zemi.
|
Mu 1978, apo Mariya wakaŵa na vyaka 45, wakaŵaso na nthumbo.
|
1.248508
|
Na eleko moko, ezalaki engumba oyo elekaki monene na mokili mobimba.
|
Ndipo panyengo yinyake ndiwo ukaŵa msumba ukuru chomene pa charu chose.
|
1.248476
|
Nzambe ayebi bamposa na biso.
|
Ciuta wakumanya ivyo tikusoŵerwa.
|
1.248439
|
Bókómisa ndako ya Tata na ngai esika ya mombongo te!'
|
Lekani kuzgora nyumba ya Adada kuŵa malo ghamalonda!'
|
1.248403
|
Nani akoki kosilisa bobola?
|
Ni njani wangamazga ukavu?
|
1.248295
|
Ozali sembo na mwa makambo moke.
|
Ukaŵa wakugomezgeka pa vinthu vichoko.
|
1.24826
|
Ndima Ye, okobikisama,
|
Dalirani mwa Iye ndipo mudzapambana.
|
1.248158
|
"Soki likoki ezali, soki etaleli kaka bino, bózala na kimya na bato nyonso.
|
"Usange ntchamachitiko, muŵe pamtende na ŵanthu wose, kuyana na umo mungafiskira.
|
1.248131
|
Kasi lelo oyo, solo ezali kosakolama epai ya moto nyonso.
|
Kweni mazuŵa ghano, unenesko ukupharazgika kwa waliyose.
|
1.248006
|
5 Ndenge nini okoki komonisa bwanya oyo ozwi na boumeli ya ebele ya bambula?
|
5 Kasi mungaŵagaŵirako wuli ŵanji vinjeru ivyo mwavisanga kwa vyaka vinandi?
|
1.247963
|
Kasi azali mpe ndeko mokristo ya malamu.'
|
Kweniso ni mbali Wacikhristu wakutemweka.'
|
1.247884
|
Bapesaki Nzambe libaku te ya kosalisa bango.
|
Ŵakatondeka kumupa m'pata Chiuta kuti waŵawovwire.
|
1.247863
|
Mpo na nini Nzambe alingi tóyeba solo?
|
Chifukwa wuli Chiuta wakukhumba kuti timanye unenesko?
|
1.247859
|
Moto moko te akoki koya epai ya Tata soki aleki na nzela na ngai te.
|
Palije munthu wakwiza kwa Ŵadada kweni mwa ine pera."
|
1.247775
|
Kasi soki bongo te, Ee mokonzi, tokosambela ekeko oyo te.'
|
Nakuti nanga wangaleka kutiponoska, tisopengepo chara chikozgo chinu, imwe Themba.'
|
1.247575
|
Yango ezalaki liteya malamu mpo na ye; ezali mpe liteya malamu mpo na basi bakristo lelo oyo.
|
Ili likaŵa sambiro liwemi kwa iyo, kweniso ku ŵanakazi awo Mbakhristu mazuŵa ghano.
|
1.247503
|
Lelo oyo, ezali na bilenge mingi lokola Timote.
|
Lero pali ŵanyamata ŵanandi awo ŵali nga ni Timote.
|
1.247425
|
Banzela na yo ezali ya boyengebene mpe ya solo, Mokonzi ya seko."
|
Imwe Themba lamuyirayira, nthowa zinu ni zaurunji na zaunenesko."
|
1.247394
|
Nazalaki kolela na butu soki nakanisi bana yango.
|
Usiku nkhaliranga para nakumbuka ŵana aŵa.
|
1.247313
|
Alaki boye: "Bayengebene bakozwa mabele, mpe bakofanda wana seko."
|
Baibolo likuti: 'Ŵakunyoloka ŵamkuhara charu na kukhala mwenemumo kwandanda.'
|
1.247254
|
Alobi mpe: "Nakosɛnga Tata mpe ye akopesa bino mosungi mosusu mpo azala elongo na bino mpo na libela, elimo ya solo."
|
Kweniso wakati: "Namulomba Adada ndipo ŵazamumupani movwiri munyake kuti waŵe namwe muyirayira, mzimu wa unenesko."
|
1.247248
|
Kimya ya Nzambe ebatelaki motema na ngai ntango nazalaki kobondela ye mikolo nyonso.
|
Zuŵa lililose para nayowoya nayo mu lurombo, mtende wake ukavikiliranga mtima wane.
|
1.247117
|
25 Nalobi na bino ya solo, nakomela lisusu vino te, kino mokolo wana, oyo nakomela yango na lolenge mosusu na Bokonzi ya Nzambe!
|
25 Nadi nkhumuphalirani, nimwengeso chilichose chara chakufuma ku mpheska m'paka zuŵa ilo nizamumwera vinyo liphya mu Ufumu wa Chiuta."
|
1.247102
|
Mpo na nini ozali na ekateli ya kolanda Mokambi na biso, Yesu?
|
Chifukwa wuli mwaŵikapo mtima kulondezga Mulongozgi withu, Yesu?
|
1.247037
|
Arona alobaki: 'Bópesa ngai wolo na bino.'
|
Mpawo Aroni wakati: 'Amundipe ngolida nzimulazyo.'
|
1.246972
|
Antoine: Yango mpe ekoki kozala ntina oyo bato balobaka bongo.
|
A Ben: Chimenechonso chingakhaledi chifukwa china.
|
1.246931
|
Bakristo oyo batyami mafuta na elimo ná baoyo bazali na elikya ya bomoi awa na mabele 'bakotɛlɛma' mokolo yango mpo Nzambe akondima bango.
|
Ŵakuphakazgika na awo ŵali na cigomezgo ca kuzakakhala pano pa caru capasi 'ŵazamwima' pa zuŵa ilo, panthazi pa Ciuta uyo wakuŵatemwa.
|
1.246793
|
Mibali yango misato bakimaki nde etumba mpo bazalaki kobanga?
|
Kasi ŵanalume ŵatatu aŵa ŵakachimbiranga chifukwa cha wofi?
|
1.246779
|
Lelo oyo, nateyaka bato ebele koleka liboso."
|
Sono nkhupharazgira ŵanthu ŵanandi kujumpha kale."
|
1.246751
|
Boyebaki te ete nasengeli kozala na ndako ya Tata na ngai?" - Luka 2:49.
|
Kasi mwamanyanga chara kuti nkhwenera kuŵa mu nyumba ya Adada?" - Luka 2:49.
|
1.246751
|
Boyebaki te ete nasengeli kozala na ndako ya Tata na ngai?" - Luka 2:49.
|
Kasi mwamanyanga chara kuti nkhwenera kuŵa mu nyumba ya Adada?" - Luka 2:49.
|
1.246597
|
Amoniselaka biso motema molai.
|
Wakuzikira nase.
|
1.246571
|
Yesu azongiselaki ye: 'Okokoka te kolanda ngai sik'oyo epai nazali kokende, kasi okolanda ngai sima.
|
Yesu wakazgora kuti: "Uko nkhuluta unganilondezga sono yayi, kweni uzamunilondezga munthazi."+
|
1.246459
|
Bongo soki ozali lokola Alex to Andrea?
|
Kweni wuli usange muli nga ni Alex panji Andrea?
|
1.246281
|
Bongo azongiselaki ye: 'Nkolo, oyebi makambo nyonso, oyebi ete nalingaka yo!
|
Ntheura wakati kwa iyo: "Fumu, imwe mukumanya vinthu vyose, mukumanya kuti nkhumutemwani."
|
1.246256
|
28 "Boni, olingi oboma ngai ndenge obomaki moto ya Ezipito lobi?"
|
28 Kasi ukukhumba kunikoma nga umo ukakomera Mueguputo mayiro?'
|
1.246143
|
Bótika kokómisa ndako ya Tata na ngai ndako ya mombongo!" - Yoane 2:16.
|
Lekani kuzgora nyumba ya Adada kuŵa nyumba ya malonda!" - Yohane 2:16.
|
1.246139
|
11 Tosengeli te koyika mpiko biso moko.
|
11 Patekha tingakwaniska yayi kuzizipizga.
|
1.246105
|
Yango wana, natikaki kokende na ndako-nzambe.
|
Ntheura nkhaleka kuluta ku tchalitchi.
|
1.246079
|
31 Bango bazongisaki: 'Ndima Nkolo Yesu, mpe okobika yo na libota na yo!
|
31 Iwo ŵakati: "Gomezga Fumu Yesu ndipo uponoskekenge, iwe na ŵamunyumba yako."+
|
1.246069
|
Na ntango oyo nazali naino na mokili, nazali pole ya mokili."
|
Apo nichali mu charu, ndine ungweru wa charu."
|
1.24601
|
Alobaki: "Tata, soki olingi, longolelá ngai kɔpɔ oyo.
|
42 wakati: "Adada, usange mukukhumba, sezganiko nkhombo iyi kwa ine.
|
1.245976
|
Soki ozali komona baanzelu yango na miso ya kondima, okozala na likoki ya kosakola nsango malamu na motema mobimba.
|
Usange mukuŵawona ŵangelo aŵa na maso gha cipulikano, mupharazgenge makani ghawemi mwacikanga.
|
1.24597
|
Nini ekómelaki libala ya liboso?
|
Kasi ntchivichi icho chikachitikira nthengwa yakwamba?
|
1.245801
|
Kasi moko na bino azali moto oyo akoselaka bato makambo."
|
Ndipouli, yumoza wa imwe ngwakusesa."
|
1.245709
|
Basundoleli bino ndako na bino."
|
Wonani, nyumba yinu yajowoleka."
|
1.245679
|
Alobaki boye: "Okolangwalangwa boye tii ntango nini?
|
Eli wakati: "Kasi uŵenge wakuloŵera m'paka pawuli?
|
1.245637
|
7 Kokamwa té po nalobi na yo: Bosengeli kobotama mbala ya mibale.
|
7 Kuzizwa chara chifukwa chakuti nakuphalira kuti: Imwe mwaŵanthu mukwenera kubabikaso.
|
1.245613
|
Tosengeli kowelaka te kopesa toli.
|
Tikwenera yayi kucimbilira kupeleka ulongozgi.
|
1.245492
|
"Oyo ezali motindo ya yambo mpe monene.
|
Ili ndilo ni languro likuru comene na lakwamba." - Mat.
|
1.245443
|
Lingomba ya solo ezali kaka moko?
|
Kasi pali chisopa chimoza pera chaunenesko?
|
1.245286
|
Libota na biso ebongaki.
|
Mu banja lithu vinthu vikamba kwenda makora.
|
1.245259
|
Bazali koloba ete: 'Tomonaki ye ndenge azali kokola, sikoyo ndenge nini akoki kozala Masiya?'
|
Ŵakayowoyanga kuti, 'Tikamuwonanga apo wakakuranga, ntheura wangaŵa wuli Mesiya?'
|
1.245197
|
Yesu alobaki ete esengeli kondimela bango mibale.
|
Yesu wakati tikwenera kugomezga wose.
|
1.245193
|
Okanisi ete vɛrsɛ oyo elobeli Bokonzi ya Nzambe?
|
Kasi mukuwona kuti vesi ili likuyowoya vya Ufumu wa Chiuta?
|
1.245136
|
Elekaki mwa bambula banda ndeko mwasi moko na Norvège atikaki solo.
|
Vyaka vinandi kumasinda, mudumbu munyake ku Norway wakaleka unenesko.
|
1.245087
|
"Mpo na nini nabangaka kopesa litatoli na kelasi?" - mokapo 17
|
"Chifukwa Wuli Nkhopa Kupharazgira Ŵanyane ku Sukulu?" - mutu 17
|
1.244989
|
Soki likoki ezali, na meko oyo yango etaleli bino, bózala na kimya elongo na bato nyonso.
|
Chitani vyose ivyo mungafiska kuti muŵe pa mtende na ŵanthu wose.
|
1.244887
|
Na yango, tókoba kosalela ye na esengo, ata soki tosali bambula mingi banda tozwá batisimo.
|
Ntheura tikwenera kulutilira kumuteŵetera mwakukondwa kwali pajumphe vyaka vinandi wuli kufuma apo tikabatizikira.
|
1.244867
|
Bongo alobaki na bango mpe: 'Bino mpe, bokende kosala na elanga na ngai ya vino.
|
Iyo wakati kwa iwo, 'Namwe lutani ku munda wane wa mpheska.'
|
1.244838
|
Kasi botondisi Yerusaleme na mateya na bino.'
|
'Kweni mwazuzga Yerusalemu na cisambizgo cinu.'
|
1.244792
|
Mpe atikalaki sembo ata ntango basusu basalaki ye makambo oyo ebongi te.
|
Wakalutilira kuŵa wakugomezgeka nangauli ŵanthu ŵanyake ŵakamukhuŵazganga.
|
1.244748
|
8"Koningana minene ya mabelé ekozala."
|
8 "Kuzamuŵa vindindindi vikuru."
|
1.244672
|
Nayebaki ete mokolo mosusu bokoya.
|
Nkhamanyanga kuti zuŵa linyake mwizenge.
|
1.244608
|
Goge ya Magoge oyo mokanda ya Ezekiele elobeli ezali nani?
|
Kasi Gogi wa Magogi uyo wakuzunulika mu buku la Ezekiyeli ni njani?
|
1.244532
|
"Lelo nzoto ezali malamu te.
|
"Mwahuno nkhujipulika makora cha.
|
1.244464
|
Ee luká mosaleli na yo, mpo nabosani mitindo na yo te."
|
Penjani muteŵeti winu, pakuti nindaluwe malango ghinu."
|
1.244397
|
Talá! basundoleli bino ndako na bino."
|
Nyumba yinu yajowoleka."
|
1.244386
|
Okomona makambo ya minene koleka oyo."
|
Uwonenge vinthu vikuru kuluska ivi."
|
1.244349
|
Na ntango mosusu ayokaki nzala mpe mposa ya mai. - 2 Ko.
|
Nyengo zinyake wakaŵanga na njara na nyota. - 2 Kor.
|
1.244313
|
Abwaki mpunda ná motambwisi na yango na mbu.'
|
Waponya mu nyanja hachi na wakukwerapo wake.'
|
1.244226
|
Ata bongo, bolinganaka mpe bolingi te kosalana mabe.
|
Kweni mukutemwana, ndipo mukukhumba yayi kuti mfumu panji muwoli winu wadandawurenge.
|
1.244067
|
"Okolela Saulo kino ntango nini?"
|
"Kodi Ulirira Sauli Mpaka Liti?"
|
1.244053
|
69 mpe abimiseli biso Mobikisi ya nguya, kati na libota ya David mosali na ye,
|
Watiwuskira sengwe la chiponosko mu nyumba ya Davide muteŵeti wake."
|
1.244043
|
Nalingi te koyoka makambo mosusu ya lingomba na yo.
|
Nkhukhumba chara kupulika chilichose chakukhwaskana na tchalitchi chako.
|
Lingala-Tumbuka_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: Lingala-Tumbuka_Sentence-Pairs
- Number of Rows: 129185
- Number of Columns: 3
- Columns: score, Lingala, Tumbuka
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).Lingala: The first sentence in the pair (language 1).Tumbuka: 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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