smilelight/lightNLP
A basic deep learning framework for natural language processing tasks built on PyTorch and torchtext.
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This project provides a foundational deep learning framework for implementing various NLP tasks including word embeddings, language modeling, Chinese word segmentation, part-of-speech tagging, dependency parsing, semantic role labeling, relation extraction, and text classification. It implements classical models like Word2Vec with hierarchical softmax and negative sampling, and is designed for educational and experimental purposes rather than production use.
Frequently asked
- What is smilelight/lightNLP?
- A basic deep learning framework for natural language processing tasks built on PyTorch and torchtext.
- Is lightNLP open source?
- Yes — smilelight/lightNLP is open source, released under the Apache-2.0 license.
- What language is lightNLP written in?
- smilelight/lightNLP is primarily written in Python.
- How popular is lightNLP?
- smilelight/lightNLP has 832 stars on GitHub.
- Where can I find lightNLP?
- smilelight/lightNLP is on GitHub at https://github.com/smilelight/lightNLP.