README.md

NgaPi (ငါးပိ)

Ngapi is a semantic chunker based on fastText word embeddings for the Myanmar language. This approach can also be applied to other languages.

Fig. A 19th century Burmese watercolor depicting a ngapi hawker (Source: Wikipedia)

Citation

If you have used the Ngapi semantic chunker, please cite it as follows:
(Ngapi Semantic Chunker ကို သုံးဖြစ်ကြရင် အောက်ပါ citation လုပ်ပေးပါ။ ကျေးဇူးပါ။)

@misc{ngapi_2024,
  author       = {Ye Kyaw Thu},
  title        = {NgaPi Semantic Chunker for Burmese, Version 1.0},
  month        = {12},
  year         = {2024},
  url          = {https://github.com/ye-kyaw-thu/NgaPi},
  note         = {Accessed: 2024-12-25},
  institution  = {LU Lab., Myanmar}
}

Reference

[1]. A 19th century Burmese watercolor depicting a ngapi hawker, https://en.wikipedia.org/wiki/Ngapi
[2]. The 5 Levels Of Text Splitting For Retrieval by Greg Kamradt: https://www.youtube.com/watch?v=8OJC21T2SL4&t=2112s
[3] P. Bojanowski*, E. Grave*, A. Joulin, T. Mikolov, Enriching Word Vectors with Subword Information

@article{bojanowski2016enriching,
  title={Enriching Word Vectors with Subword Information},
  author={Bojanowski, Piotr and Grave, Edouard and Joulin, Armand and Mikolov, Tomas},
  journal={arXiv preprint arXiv:1607.04606},
  year={2016}
}

[4] A. Joulin, E. Grave, P. Bojanowski, T. Mikolov, Bag of Tricks for Efficient Text Classification

@article{joulin2016bag,
  title={Bag of Tricks for Efficient Text Classification},
  author={Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Mikolov, Tomas},
  journal={arXiv preprint arXiv:1607.01759},
  year={2016}
}

[5] A. Joulin, E. Grave, P. Bojanowski, M. Douze, H. Jégou, T. Mikolov, FastText.zip: Compressing text classification models

@article{joulin2016fasttext,
  title={FastText.zip: Compressing text classification models},
  author={Joulin, Armand and Grave, Edouard and Bojanowski, Piotr and Douze, Matthijs and J{\'e}gou, H{\'e}rve and Mikolov, Tomas},
  journal={arXiv preprint arXiv:1612.03651},
  year={2016}
}

(* These authors contributed equally.)

[6]. RE based syllable breaking tool for Burmese: https://github.com/ye-kyaw-thu/sylbreak