Stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages (by stanfordnlp)
textacy
NLP, before and after spaCy (by chartbeat-labs)
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Stanza | textacy | |
---|---|---|
8 | 1 | |
7,047 | 2,173 | |
1.1% | 0.7% | |
9.8 | 6.1 | |
4 days ago | 7 months ago | |
Python | Python | |
GNU General Public License v3.0 or later | 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.
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.
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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
- 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
textacy
Posts with mentions or reviews of textacy.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Spacy for keyword extraction
Have a look at textacy: https://github.com/chartbeat-labs/textacy
What are some alternatives?
When comparing Stanza and textacy you can also consider the following projects:
spaCy - π« Industrial-strength Natural Language Processing (NLP) in Python
NLTK - NLTK Source
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)
Pattern - Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
pytext - A natural language modeling framework based on PyTorch
SnowNLP - Python library for processing Chinese text