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License: Apache License 2.0
Natural Language Processing in Elixir
License: Apache License 2.0
Goal / End-state: Mighty NLP is a production-grade Natural Language Processing library for Elixir. Mighty is customizable and extensible and provides tools for all aspects of NLP. Bumblebee already provides pre-trained transformers that can perform some of the main tasks typical of an NLP library, so Mighty aims to expand on those models and integrate them as part of a comprehensive pipeline.
The comparable library is Python's Spacy (https://spacy.io/)
To gain a better understanding of Spacy's architecture and pipeline operations, you can refer to their excellent documentation: https://spacy.io/api and https://spacy.io/usage/spacy-101
Some points for discussion:
Language
, Vocab
, and Doc
as its main containersThe first step in any NLP application is tokenization, so that should be the first issue tackled.
A nice explanation of Spacy's tokenization algorithm can be found at https://spacy.io/usage/linguistic-features#how-tokenizer-works
This is the tokenization algorithm I will be proceeding with for now unless there are compelling reasons to go another direction. This issue will also involve creating all basic container data structures needed to compose the Tokenization pipeline, such as Tokenizer, Vocab, Doc, etc.
For now, I will try to do a fairly faithful reimplementation of Spacy's tokenizer and we can diverge from it as we need to
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