Underthesea Core is a powerful extension of the popular natural language processing library Underthesea, which includes a range of efficient data preprocessing tools and machine learning models for training. Built with Rust for optimal performance, Underthesea Core offers fast processing speeds and is easy to implement, with Python bindings for seamless integration into existing projects. This extension is an essential tool for developers looking to build high-performance NLP systems that deliver accurate and reliable results.
CRFFeaturizer
>>> from underthesea_core import CRFFeaturizer
>>> features = ["T[-1]", "T[0]", "T[1]"]
>>> dictionary = set(["sinh viên"])
>>> featurizer = CRFFeaturizer(features, dictionary)
>>> sentences = [[["sinh", "X"], ["viên", "X"], ["đi", "X"], ["học", "X"]]]
>>> featurizer.process(sentences)
[[['T[-1]=BOS', 'T[0]=sinh', 'T[1]=viên'],
['T[-1]=sinh', 'T[0]=viên', 'T[1]=đi'],
['T[-1]=viên', 'T[0]=đi', 'T[1]=học'],
['T[-1]=đi', 'T[0]=học', 'T[1]=EOS']]]
Cargo.toml and pyproject.tomlcore with commit Publish Underthesea Corerelease-pypi-core actionNote*: Run a self-hosted for building macos-arm
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Underthesea Core
We found that underthesea-core demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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