nlpnet is a Python library for Natural Language Processing tasks based on neural networks. Currently, it performs part-of-speech tagging and semantic role labeling. It may be used as a Python library or through its standalone scripts.
Most of the architecture is language independent, but some functions were especially tailored for working with Portuguese.
This system was inspired by SENNA, but has some conceptual and practical differences.
Key Features
- Performs POS tagging, SRL and dependency parsing.
- Can be used both as a Python library or by its standalone scripts.
- New models for POS and SRL can be trained using the nlpnet-train.py script.
- Includes standalone scripts that may be called from a command line:
- nlpnet-train – train a new model or further train an existing one.
- nlpnet-load-embeddings – load word embeddings trained externally. It accepts different formats.
- nlpnet-test – measure the performance of a model against a gold data set.
- nlpnet-tag – call a model and tag some given text.
nlpnet requires NLTK and NumPy.
Website: github.com/erickrf/nlpnet
Support:
Developer: Erick Rocha Fonseca
License: MIT License
nlpnet is written in Python. Learn Python with our recommended free books and free tutorials.
Related Software
| Python Natural Language Processing Tools | |
|---|---|
| PyTorch-Transformers | Library of state-of-the-art pre-trained models for NLP |
| NLTK | Natural Language Toolkit |
| spaCy | Industrial strength natural language processing |
| scikit-learn | Machine learning library |
| Haystack | AI orchestration framework |
| Gensim | Vector space modeling and topic modeling toolkit |
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| polyglot | Multilingual text (NLP) processing toolkit |
| AllenNLP | Apache 2.0 NLP research library |
| Snips NLU | Natural Language Understanding Python library |
| PyNLPI | Various modules useful for common, and less common, NLP tasks |
| nlpnet | Natural Language Processing with neural networks |
| Pattern | Web mining module |
| GluonNLP | Deep Learning for NLP |
| PyTorch-NLP | Neural network layers, text processing modules and datasets |
| NLP Architect | Deep Learning NLP/NLU library |
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