Parallel Corpus for Indian Languages

Available parallel data for training machine translation models in indic languages: Hindi, Bengali, Gujarati, Gondi, Kannada, Manipuri, Marathi, Malayalam, Oriya, Punjabi, Sanskrit, Tamil, Telugu.

Assamese-X

1. Samaantar Corpus
2. As-En PMIndia Corpus
3. As-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row asm-eng.

Bengali-X

1. Samaantar Corpus
2. Bn-En BEUT Parallel corpus: 2.75million pairs of bengali-english sentences @EMNLP 2020
3. Bn-En Project Anuvaad
4. Bn-En Indian Parallel Corpora
5. CVIT-IIITH PIB Multilingual Corpus: en, gu, hi, ml, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
6. CVIT-IIITH Mann ki Baat Corpus: en, gu, hi, ml, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
7. Bn-En Indian-Language Dataset
8. Bn-En Asian Language Treebank (ALT) Parallel Corpus
9. Bn-En PMIndia Corpus
10. Bn-En OPUS: Set source as en and target as bn
11. Bn-En SUPARA 0.8M: Requires an IEEE DataPort Subscription
12. Bn-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row ben-eng.

Gujarati-X

1. Samaantar Corpus
2. Gu-En WikiTitles Parallel Corpus : wikititles-v1.gu-en.tsv.gz
3. Gu-En Project Anuvaad
4. Gu-En Tsardia
5. CVIT-IIITH PIB Multilingual Corpus: en, bn, hi, ml, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
6. CVIT-IIITH Mann ki Baat Corpus: en, bn, hi, ml, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
7. Gu-En Shahparth123
8. Gu-En PMIndia Corpus
9. Gu-En Bible Corpus
10. Gu-En OPUS: Set source as en and target as gu
11. Gu-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row guj-eng.

Gondi-X

1. Gondi-Hindi Parallel Corpus

Hindi-X

1. Samaantar Corpus
2. Hi-En IITB Parallel Corpus: v3.0 released !!
3. Hi-En Project Anuvaad
4. Hi-En Indian Parallel Corpora
5. CVIT-IIITH PIB Multilingual Corpus: en, bn, gu, ml, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
6. CVIT-IIITH Mann ki Baat Corpus: en, bn, gu, ml, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
7. Hi-En Asian Language Treebank (ALT) Parallel Corpus
8. Hi-En PMIndia Corpus
9. Hi-En Bible Corpus
10. Hi-En Wiki Matrix Comparable Corpus
11. Hi-En OPUS: Set source as en and target as hi. [ Some of the corpus are part of IITB Parallel Corpus.]
12. Hi-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row hin-eng.
13. IIITH Code-Mix Hi-En Corpus
14. Hi-En Flickr 8k: Multimodal Dataset
15. Hi-San parallel corpus: Hindi-Sanskrit monolingual and parallel data from Ramayana, Rigveda, Bhagvad Gita, etc.

Kannada-X

1. Samaantar Corpus
2. Kn-En Project Anuvaad
3. Kn-En PMIndia Corpus
4. Kn-En Bible Corpus
5. OPUS: Set source as en and target as kn
6. Kn-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row kan-eng.

Manipuri-X

1. Mn-En PMIndia Corpus

Marathi-X

1. Samaantar Corpus
2. Mr-En Project Anuvaad
3. CVIT-IIITH PIB Multilingual Corpus: en, bn, gu, hi, ml, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
4. CVIT-IIITH Mann ki Baat Corpus: en, bn, gu, hi, ml, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
5. Mr-En PMIndia Corpus
6. Mr-En Bible Corpus
7. Mr-En OPUS: Set source as en and target as mr
8. Mr-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row mar-eng.

Malayalam-X

1. Samaantar Corpus
2. Ml-en Project Anuvaad
3. Indian Parallel Corpora
4. CVIT-IIITH PIB Multilingual Corpus: en, bn, gu, hi, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
5. CVIT-IIITH Mann ki Baat Corpus: en, bn, gu, hi, mr, or, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
6. Ml-en Indian-Language Dataset
7. Ml-en English_Malayalam_ParallelCorpora
8. Ml-en PMIndia Corpus
9. Ml-en Bible Corpus
10. Ml-en OPUS: Set source as en and target as ml
11. Ml-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row mal-eng.

Oriya-X

1. Samaantar Corpus
2. Or-En MTEnglish2Odia
3. Or-En OdiEnCorp 2.0
4. Or-En OdiEnCorp 1.0
5. Or-En IndoWordnet Parallel Corpus
6. CVIT-IIITH PIB Multilingual Corpus: en, bn, gu, hi, ml, mr, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
7. CVIT-IIITH Mann ki Baat Corpus: en, bn, gu, hi, ml, mr, pa, ta, te, ur. [Source-code, pretrained models and other resources also available.]
8. Or-En PMIndia Corpus
9. Or-En OPUS: Set source as en and target as or
10. Or-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row ori-eng.

Punjabi-X

1. Samaantar Corpus
2. Pu-En Project Anuvaad
3. Pu-En Punjabi-English Corpus
4. Pu-En PMIndia Corpus
5. Pu-En OPUS: Set source as en and target as pa
6. Pu-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row pan-eng.

Sanskrit-X

1. San-Hi parallel corpus: Sanskrit Hindi monolingual and parallel data from Ramayana, Rigveda, Bhagvad Gita, etc.

Tamil-X

1. Samaantar Corpus
2. Ta-En Project Anuvaad
3. Ta-En Indian Parallel Corpora
4. Ta-En National Language Process Center
5. Ta-En EnTam
6. CVIT-IIITH PIB Multilingual Corpus: en, bn, gu, hi, ml, mr, or, pa, te, ur. [Source-code, pretrained models and other resources also available.]
7. CVIT-IIITH Mann ki Baat Corpus: en, bn, gu, hi, ml, mr, or, pa, te, ur. [Source-code, pretrained models and other resources also available.]
8. Ta-En Indian-Language Dataset
9. Ta-En Multiple Dataset Links
10. Ta-En PMIndia Corpus
11. Ta-En Parallel Corpus
12. Ta-En PMIndia Corpus
13. Ta-En OPUS: Set source as en and target as ta
14. Ta-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row tam-eng.

Telugu-X

1. Samaantar Corpus
2. Te-En Project Anuvaad
3. Te-En Indian Parallel Corpora
4. CVIT-IIITH PIB Multilingual Corpus: en, bn, gu, hi, ml, mr, or, pa, ta, ur. [Source-code, pretrained models and other resources also available.]
5. CVIT-IIITH Mann ki Baat Corpus: en, bn, gu, hi, ml, mr, or, pa, ta, ur. [Source-code, pretrained models and other resources also available.]
6. Te-En Indian-Language Dataset
7. Te-En PMIndia Corpus
8. Te-En Bible Corpus
9. Te-En OPUS: Set source as en and target as te
10. Te-En Backtranslated Tatoeba Challenge: Parallel data obtained by backtranslation on monolingual data. Row tel-eng.

Other Resources

1. PMIndia Parallel Corpus Creation: Code for creating a parallel corpus from pmindia.gov.in. [Paper Link]