trankit
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing (by nlp-uoregon)
Stanza
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages (by stanfordnlp)
| trankit | Stanza | |
|---|---|---|
| 1 | 8 | |
| 707 | 7,047 | |
| - | 0.5% | |
| 5.7 | 9.8 | |
| 15 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
trankit
Posts with mentions or reviews of trankit.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Trankit v1.0.0 - An open-source Transformer-based Multilingual NLP Toolkit for 56 languages is out.
Trankit is written in Python and can be easily installed via pip. Our code and pretrained models are publicly available at: https://github.com/nlp-uoregon/trankit
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
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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
- 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 trankit and Stanza you can also consider the following projects:
spaCy - π« Industrial-strength Natural Language Processing (NLP) in Python
transformers - π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
NLTK - NLTK Source
argilla - Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data ownership, and overall efficiency.
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
wiktextract - Wiktionary dump file parser and multilingual data extractor
Jieba - η»ε·΄δΈζεθ―
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
Sentimentanalysis - Language independent sentiment analysis
pytext - A natural language modeling framework based on PyTorch