metadata

license: mit
datasets:
  - vrclc/dakshina-lexicons-ml
  - vrclc/Dakshina-romanized-ml
  - vrclc/Aksharantar-ml
language:
  - ml
metrics:
  - cer
  - wer
  - bleu
pipeline_tag: text2text-generation
model-index:
  - name: Malayalam Transliteration
    results:
      - task:
          type: automatic-speech-recognition
          name: Automatic Speech Recognition
        dataset:
          name: IndoNLP Test -1
          type: vrclc/IndoNLP-1
          split: test
          args: ml
        metrics:
          - type: cer
            value: 7.4
            name: CER

Model Card for Model ID

Sequence to Sequence Model for Treansliterationg Romanised Malayalam (Manglish) to Native Script.

Model Description

Developed by: Bajiyo Baiju, Kavya Manohar, Leena G Pillai
Language(s) (NLP): Malayalam
License: MIT

Model Sources

Repository: https://github.com/VRCLC-DUK/ml-en-transliteration
Paper: https://arxiv.org/abs/2412.09957
Demo: https://huggingface.co/spaces/vrclc/en-ml-transliteration

How to Get Started with the Model

The model needs to have an externally defined tokenizers for source and target languages.

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Training Details

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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