Research team

S.M.U. Qamar and co-authors

As stated in their Scientific Reports paper

Released the largest Kashmiri–English parallel corpus, about 270,000 pairs from digitised literature and written dialogue, and compared neural architectures for Kashmiri–English translation on it. The corpus is licensed for non-commercial use only.

Hugging Face Paper

1: Papers
2: Datasets

Focus

Papers 1

paper

2025

Deep Neural Architectures for Kashmiri-English Machine Translation

Qamar, S.M.U., Azim, M., Quadri, S.M.K., et al. · Scientific Reports (Nature)

Introduces the first comprehensive NMT benchmark for Kashmiri with a 270K parallel corpus. Compares Encoder-Decoder, Attention-Enhanced, and Transformer architectures. Achieves BLEU-4 of 0.2965.

NMT270K CorpusTransformer

Featured

Datasets 2

dataset

2024

Kashmiri-English Dataset 270K

SMUQamar · HuggingFace

Largest open Kashmiri-English parallel corpus with ~270,000 sentence pairs built from digitized literary texts, manually authored dialogues, and filtered legacy data. Foundation of the first NMT benchmark for Kashmiri.

Parallel Corpus270K PairsNMT Benchmark

CC-BY-NC-SA-4.0

Featured

dataset

2024

Kashmiri-English Parallel Corpus (30K)

SMUQamar · HuggingFace

30,000+ Kashmiri→English sentence pairs organized into raw, cleaned, and processed directories. A widely-used open parallel corpus for Kashmiri MT research.

Parallel CorpusMachine Translation30K+ Pairs

CC-BY-NC-SA-4.0

Worked with

M. Azim
S.M.K. Quadri

Every work above is a record in the Kashmiri NLP resource hub, credited as published; profile details come from huggingface.co, doi.org. Something missing or wrong? Submit it.