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Datasets:
icfoss
/
English-Malayalam-Bi-Parallel-Corpus

Tasks:
Translation
Languages:
English
Malayalam
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This repository contains a high-quality English–Malayalam bi-parallel corpus designed to support research and development in machine translation (MT), cross-lingual NLP, and low-resource language technologies.

The dataset aligns sentence-level English text with its Malayalam translation, making it suitable for:

  • Neural Machine Translation (NMT)
  • Domain adaptation and fine-tuning
  • Translation quality estimation
  • Automatic post-editing
  • Multilingual and Indic language research

Language | Code

English | en Malayalam | ml

Dataset Statistics

Metric | Value

Parallel sentence pairs | 176731 Domains | General Alignment level | Sentence Level

Dataset Structure

  • data.ml
  • data.en

Suggested Use Cases

  • Training Transformer-based MT models (mBART, mT5, NLLB, IndicTrans)
  • Fine-tuning large multilingual models for Malayalam
  • Evaluation and benchmarking for low-resource MT
  • Academic research and teaching in NLP

Maintained By

This dataset is part of ongoing efforts to strengthen Indian language AI resources and support open, inclusive NLP research.
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Total file size:
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Models trained or fine-tuned on icfoss/English-Malayalam-Bi-Parallel-Corpus