MaitH 1.0: A Parallel Corpus and Baseline for Low-Resource Maithili-Hindi Translation

ACL ARR 2025 July Submission293 Authors

Abstract: Maithili is one of the 22 official languages recognized in the Indian Constitution. The literature of Maithili is rich; however, due to current socio-political changes, the language is on the verge of extinction. Therefore, it is crucial to develop a corpus for low-resource Indic languages like Maithili to ensure that the dream of ``No Language Left Behind" (NLLB) is realized. With this in mind, we contribute a corpus (1,05,600 sentences) containing both manually curated and synthetically generated. Additionally, we propose a strong baseline on the Maithali-Hindi pair using our data, surpassing the baseline achievable through existing NLLB data.

Paper Type: Short

Research Area: Resources and Evaluation

Research Area Keywords: corpus creation, benchmarking, language resources, NLP datasets, automatic evaluation of datasets, evaluation methodologies, evaluation, datasets for low resource languages, metrics, reproducibility

Contribution Types: Publicly available software and/or pre-trained models, Data resources

Languages Studied: Maithili, Hindi

Previous URL: https://openreview.net/forum?id=Z5kg21e2Dt

Reassignment Request Area Chair: No, I want the same area chair from our previous submission (subject to their availability).

Reassignment Request Reviewers: No, I want the same set of reviewers from our previous submission (subject to their availability)

A1 Limitations Section: This paper has a limitations section.

A2 Potential Risks: Yes

A2 Elaboration: Section Number 6

B Use Or Create Scientific Artifacts: Yes

B1 Cite Creators Of Artifacts: Yes

B1 Elaboration: section 1, footnote

B2 Discuss The License For Artifacts: Yes

B2 Elaboration: Section 6

B3 Artifact Use Consistent With Intended Use: Yes

B3 Elaboration: Appendix A.6

B4 Data Contains Personally Identifying Info Or Offensive Content: Yes

B4 Elaboration: Section 6

B5 Documentation Of Artifacts: Yes

B5 Elaboration: Section 2 , Table 1

B6 Statistics For Data: Yes

B6 Elaboration: subsection 2.4 Appendix A.2, Table 5 and 6

C Computational Experiments: Yes

C1 Model Size And Budget: Yes

C1 Elaboration: Appendix A.3

C2 Experimental Setup And Hyperparameters: Yes

C2 Elaboration: Appendix A.3

C3 Descriptive Statistics: Yes

C3 Elaboration: subsection 3.4, Table 3 and 4

C4 Parameters For Packages: Yes

C4 Elaboration: subsection 3.3, Appendix A.4

D Human Subjects Including Annotators: Yes

D1 Instructions Given To Participants: Yes

D1 Elaboration: subsection 2.4

D2 Recruitment And Payment: N/A

D3 Data Consent: Yes

D3 Elaboration: section 2, Appendix A.1

D4 Ethics Review Board Approval: N/A

D5 Characteristics Of Annotators: Yes

D5 Elaboration: subsection 2.4, first paragraph

E Ai Assistants In Research Or Writing: No

E1 Information About Use Of Ai Assistants: N/A

Author Submission Checklist: yes

Submission Number: 293