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SEETM (Sinhala-English Equivalent Token Mapper) allows creating equivalent token maps and replace them with a base token to avoid OOV tokens and generate a single feature for all equivalent tokens in a Sinhala-English code-switching dataset in rasa-based conversational AIs.

Features

  • Allows mapping multiple equivalent tokens into a base token
  • Fully supports rasa 2.8.x projects
  • Provides an easy-to-use CLI
  • Provides an efficient server-based GUI
  • Provides a fully-functional custom whitespace tokenizer
  • Fully-supports Sinhala in the GUI

What's Cooking?

  • Mapping suggestions in the SEETM server GUI
  • Automatically generated mappings

Limitations and Known Issues

  • Should manually add the SEETM tokenizer to the rasa pipeline or else the token maps are not taking any effect
  • IPA-based suggestions could contain slight changes based on th IPA mapping origin. (SEETM uses CMU)

Resources and References

📒 Docs: https://seetm.github.io
📦 PyPi: https://pypi.org/project/seetm/1.1.1/
🪵 Full Changelog: https://github.com/SEETM-NLP/seetm/blob/main/CHANGELOG.md

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Release files for seetm 1.1.1

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seetm-1.1.1-py3-none-any.whl Python 3 none any Details

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