PyTorch-NLP
Basic Utilities for PyTorch Natural Language Processing (NLP) (by PetrochukM)
DISCONTINUED
Stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages (by stanfordnlp)
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PyTorch-NLP | Stanza | |
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1 | 8 | |
2,180 | 7,013 | |
- | 1.0% | |
0.0 | 9.7 | |
9 months ago | 2 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
PyTorch-NLP
Posts with mentions or reviews of PyTorch-NLP.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-05-02.
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Introduction to PyTorch
PyTorch-NLP
Stanza
Posts with mentions or reviews of Stanza.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-06.
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Parts of speech tagged for German
I use Python's spacy library: https://spacy.io/models/de or stanza: https://stanfordnlp.github.io/stanza/ each with their respective language models.
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Off the shelf sentence parsers?
stanza has a constituency parser. There's a model compatible with the dev branch with an accuracy of 95.8 on PTB, using Roberta as a bottom layer, so it's pretty decent at this point. (The currently released model is not as accurate, but it's easy to get the better model to you.) There's also Tregex as a Java addon which can very easily search for a noun phrase highest up in the tree: NP !>> NP will search for a noun phrase which is not dominated by any higher up noun phrase.
- The Spacy NER model for Spanish is terrible
What are some alternatives?
When comparing PyTorch-NLP and Stanza you can also consider the following projects:
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
NLTK - NLTK Source
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
Jieba - 结巴中文分词
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
pytext - A natural language modeling framework based on PyTorch
polyglot - Multilingual text (NLP) processing toolkit