py3langid
Jieba
| py3langid | Jieba | |
|---|---|---|
| - | 6 | |
| 33 | 32,442 | |
| - | - | |
| 0.0 | 0.0 | |
| over 1 year ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT License |
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py3langid
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Tracking mentions began in Dec 2020.
Jieba
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[OC] How Many Chinese Characters You Need to Learn to Read Chinese!
jieba to do Chinese word segmentation
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Sentence parser for Mandarin?
Jieba: Chinese text segmenter
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How many in here use google sheets to keep track on their Chinese vocabulary? (2 pics) - More info in the comments
If you know some python you can use a popular library called Jieba 结巴 to automatically get pinyin for every word. (Jieba has actually been ported to many languages) You can also use it to break a chinese text into a set of unique words for easy addition to your spreadsheet.
- Where can I download a database of Chinese word classifications (noun, verb, etc)
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Learn vocabulary effortlessly while browsing the web [FR,EN,DE,PT,ES]
Since you're saying the main issue is segmentation, there are libraries to help out with that issue. jieba is fantastic if you have a Python backend, nodejieba (50k downloads/week) if it's more JS-side.
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I'm looking for a specific vocab list
https://github.com/fxsjy/jieba/ (has some good word frequency data)
What are some alternatives?
langid.py - Stand-alone language identification system
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
NLTK - NLTK Source
SnowNLP - Python library for processing Chinese text
textacy - NLP, before and after spaCy
IEPY - Information Extraction in Python
pkuseg-python - pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
pntl - Practical Natural Language Processing Tools for Humans is build on the top of Senna Natural Language Processing (NLP) predictions: part-of-speech (POS) tags, chunking (CHK), name entity recognition (NER), semantic role labeling (SRL) and syntactic parsing (PSG) with skip-gram all in Python and still more features will be added. The website give is for downlarding Senna tool