word_forms
trace-dkey
| word_forms | trace-dkey | |
|---|---|---|
| 1 | 1 | |
| 617 | 7 | |
| - | - | |
| 0.0 | 6.9 | |
| over 3 years ago | about 2 months ago | |
| Python | Python | |
| MIT License | MIT License |
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word_forms
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Is there any alternative Python's word-forms?
However, I've had a peek into the word-forms source code and it seems very easy to translate to Java, it's basically parsing a big amount of data from text files. In my opinion, creating a Java version would be a nice open-source project, if there's anyone willing to do it.
trace-dkey
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Tiny lib to trace the path of a particular key
Try this out and provide some feedback https://github.com/Agent-Hellboy/trace-dkey
What are some alternatives?
grungegirl - grungegirl is the hacker's drug encyclopedia. programmed in python for maximum modularity and ease of configuration.
dictionary - A list of the most popular English words.
betterletter - Substitute alternative spellings of special characters (e.g. German umlauts [ae, oe, ue] and [ss]) with their correct versions (ä, ö, ü, ß).
spacy-experimental - 🧪 Cutting-edge experimental spaCy components and features
pyglossary - A tool for converting dictionary files aka glossaries. Mainly to help use our offline glossaries in any Open Source dictionary we like on any modern operating system / device.
wordhoard - This Python module can be used to obtain antonyms, synonyms, hypernyms, hyponyms, homophones and definitions.
python-benedict - :blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
tmatch - Super fast token matcher
wiktextract - Wiktionary dump file parser and multilingual data extractor
simplenlg - Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.
textaugment - TextAugment: Text Augmentation Library