monad-recorder
Stanza
| monad-recorder | Stanza | |
|---|---|---|
| - | 8 | |
| 13 | 7,060 | |
| - | 0.7% | |
| 0.0 | 9.8 | |
| about 6 years ago | about 22 hours ago | |
| Haskell | Python | |
| MIT License | GNU General Public License v3.0 or later |
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monad-recorder
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Tracking mentions began in Dec 2020.
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 β A Python NLP Package for Many Human Languages
What are some alternatives?
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)
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―
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
trankit - Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
stanfordnlp - [Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.