languagetool
SymSpell
languagetool | SymSpell | |
---|---|---|
318 | 16 | |
12,723 | 3,194 | |
1.2% | 0.6% | |
10.0 | 4.4 | |
5 days ago | 15 days ago | |
Java | C# | |
GNU Lesser General Public License v3.0 only | MIT License |
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languagetool
- Free Grammar Checker – LanguageTool
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Scramble: Open-Source Alternative to Grammarly
Same, it integrates in all input fields too and has all the browser extensions you need. Non-GitHub landing page: https://languagetool.org
- Ask HN: Any spell-checkers that are good?
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languagetool VS harper - a user suggested alternative
2 projects | 29 Jul 2024
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Tools that keep me productive
LanguageTool - A grammar and spell checking tool
- Ask HN: Grammarly Alternatives?
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Show HN: Heynote – A Dedicated Scratchpad for Developers
Great tool, thanks for sharing. If you are open to suggestions, I would love to have spellcheck in it.
https://github.com/languagetool-org/languagetool
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Is there global autocorrect for linux?
I don't know of a "global" function, but what you use depends largely on where you're doing your writing. It's possible to spellcheck markdown and html files from a terminal with aspell and to find the correct spelling of partial words with look. Some apps, like Grammarcheck can offer you close to global spellcheck. Apps like LanguageTool offer browser addons to check grammar and spelling.
- Compartilhando seu conhecimento com o mundo! Como escrever artigos
- Grammarly editor writing service are malfunctioning
SymSpell
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Should you combine edit distance "spell check" algorithms with phonetic matching algorithms for robust keyword finding?
The SimSpell algorithm uses deletions to determine edit distance of the input query word compared to a dictionary of correctly spelled words. The Double Metaphone algorithm (or other phonetic algorithms) convert the words to phonetic versions (phonetic "hashes" basically), and you then search based on the input phonetic hash matching the dictionary of phonetic hashes.
- Show HN: I automated 1/2 of my typing
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Learn more about spell checkers
Books: a. "Speech and Language Processing" by Daniel Jurafsky and James H. Martin (3rd Edition) - This book covers various aspects of natural language processing, including a section on spelling correction that provides a comprehensive introduction to the topic. b. "Foundations of Statistical Natural Language Processing" by Christopher D. Manning and Hinrich Schütze - This book provides an overview of statistical approaches in NLP, including a chapter on spelling correction. Articles: a. "How to Write a Spelling Corrector" by Peter Norvig - This article demonstrates the development of a simple spelling corrector using statistical algorithms. It's a great starting point for understanding the basics of spell checkers. (Link: https://norvig.com/spell-correct.html) b. "The Design of a Proofreading Software Service" by Michael D. Garris and James L. Blue - This article presents the design and implementation of a spelling correction system that can be integrated into various applications. (Link: https://www.nist.gov/system/files/documents/itl/iad/89403123.pdf) c. "A Fast and Flexible Spellchecker" by Atkinson, K. (2006) - This article details the design of a spell checker that uses a combination of rule-based and statistical approaches for improved performance. (Link: https://aspell.net/0.60.6.1/aspell-0.60.6.1.pdf) Online Resources: a. The Natural Language Toolkit (NLTK) - This is a popular Python library for natural language processing. It includes a spell checker module and various examples of how to use it. (Link: https://www.nltk.org/) b. SymSpell - This is an open-source spell checking library that uses a Symmetric Delete spelling correction algorithm for high performance and accuracy. The GitHub repository includes a detailed description of the algorithm and examples of how to use it. (Link: https://github.com/wolfgarbe/SymSpell) These resources should provide a solid foundation for understanding the design, algorithms, and usage of spell checkers. Happy learning!
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Turn the spellchecker into autocorrection software
Can this github.com/wolfgarbe/SymSpell or this github.com/ruby/did_you_mean or any of these github.com/topics/spell-check?o=desc&s=forks spellcheckers be used as an autocorrection software?
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Help with deep learning project "autocorrection"
Do you absolutely need to use deep learning? There are tons of way faster autocorrect implementations that use levenshtein distances and non-DL techniques such as SymSpell or Norvig’s algorithm. DL is both expensive and requires tons of data to train on, I would stay away from that unless you’re doing it for your own enrichment or a school project.
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Spellcheck and Levenshtein distance
This library claims to be orders of magnitude faster: https://github.com/wolfgarbe/SymSpell
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Auto correct/Auto complete feature
If you want to do both at the same time (prefix search, allowing for misspellings), you can use a trie, but rather than just putting all your words in it, you can put everything in the "deletion neighborhood" of each word (that is, each possible variant of each word that has one character deleted), in an approach sort of like what's described here. Fair warning, though, that this gets a little hairy, and you'll have to decide how to weight prefix matches vs. misspellings in your rankings.
- SymSpell: 1M times faster spelling correction
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Hacker News top posts: Mar 6, 2022
SymSpell: 1M times faster spelling correction\ (6 comments)
What are some alternatives?
awesome-selfhosted - A list of Free Software network services and web applications which can be hosted on your own servers
JamSpell - Modern spell checking library - accurate, fast, multi-language
docker-languagetool - Dockerfile for LanguageTool server - configurable
hunspell - The most popular spellchecking library.
Emacs-langtool - LanguageTool for Emacs
wtpsplit - Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
ltex-ls - LTeX Language Server: LSP language server for LanguageTool :mag::heavy_check_mark: with support for LaTeX :mortar_board:, Markdown :pencil:, and others
NetSpell - Spell Checker for .NET
docker-languagetool - Dockerfile for LanguageTool
SymSpell - A JavaScript implementation of the Symmetric Delete spelling correction algorithm.
refiner - Refiner improves your writing by correcting grammar and style, adjusting tone, and offering formatting options. It is useful for non-native speakers and professionals who communicate with text.
NLP-progress - Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.