Stanza
bllip-parser
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| Stanza | bllip-parser | |
|---|---|---|
| 8 | 1 | |
| 7,047 | 225 | |
| 1.1% | 0.0% | |
| 9.8 | 1.8 | |
| 1 day ago | over 2 years ago | |
| Python | GAP | |
| GNU General Public License v3.0 or later | - |
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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
- 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 โ A Python NLP Package for Many Human Languages
bllip-parser
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Off the shelf sentence parsers?
The BLLIP parser provides constituency parses (parse trees with phrasal labels like NP). There are Python bindings available.
What are some alternatives?
spaCy - ๐ซ Industrial-strength Natural Language Processing (NLP) in Python
happy-transformer - Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
NLTK - NLTK Source
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
zshot - Zero and Few shot named entity & relationships recognition
Jieba - ็ปๅทดไธญๆๅ่ฏ
nlpaug - Data augmentation for NLP
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
Catalyst - ๐ Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.
pytext - A natural language modeling framework based on PyTorch
thinc - ๐ฎ A refreshing functional take on deep learning, compatible with your favorite libraries