stanfordnlp
[Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza (by stanfordnlp)
Stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages (by stanfordnlp)
| stanfordnlp | Stanza | |
|---|---|---|
| - | 8 | |
| 111 | 7,053 | |
| 0.9% | 0.5% | |
| 3.2 | 9.8 | |
| 8 months ago | about 7 hours ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
stanfordnlp
Posts with mentions or reviews of stanfordnlp.
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We haven't tracked posts mentioning stanfordnlp yet.
Tracking mentions began in Dec 2020.
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.
- Down and Out in the Magic Kingdom
-
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.
-
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
- Spacy vs NLTK for Spanish Language Statistical Tasks
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Stanza not tokenising sentences as expected
I am using Stanza to tokenise the sentences:
- Stanza β A Python NLP Package for Many Human Languages
What are some alternatives?
When comparing stanfordnlp and Stanza you can also consider the following projects:
spaCy - π« Industrial-strength Natural Language Processing (NLP) in Python
pytext - A natural language modeling framework based on PyTorch
NLTK - NLTK Source
langid.py - Stand-alone language identification system
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
Jieba - η»ε·΄δΈζεθ―
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)