turing
Stanza
turing | Stanza | |
---|---|---|
2 | 8 | |
47 | 7,053 | |
- | 0.5% | |
9.8 | 9.8 | |
about 16 hours ago | 1 day ago | |
Java | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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turing
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?
pytextrank - Python implementation of TextRank algorithms ("textgraphs") for phrase extraction
spaCy - π« Industrial-strength Natural Language Processing (NLP) in Python
datalinguist - Stanford CoreNLP in idiomatic Clojure.
NLTK - NLTK Source
Apache OpenNLP - Apache OpenNLP
BERT-NER - Pytorch-Named-Entity-Recognition-with-BERT
hawking - A Natural Language Date Time Parser that Extract date and time from text with context and parse to the required format
Jieba - η»ε·΄δΈζεθ―
AgePredictor - Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum
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