Better correction quality for LookupCompound with existing single term dictionary by using Naive Bayes probability for selecting best word splitting AND even better correction quality, when using the optional bigram dictionary in order to use sentence level context information for selecting best spelling correction. https://github.com/erhanbaris/SymSpellPlusPlus (Version 6.1), Crystal Benchmark() added: Lookup of 1000 terms with random spelling errors. It is six orders of magnitude faster (than the standard approach with deletes + transposes + replaces + inserts) and language independent. In order to achieve this two data sources were combined by intersection: Google Books Ngram data which provides representative word frequencies (but contains many entries with spelling errors) and SCOWL — Spell Checker Oriented Word Lists which ensures genuine English vocabulary (but contained no word frequencies required for ranking of suggestions within the same edit distance). Option to preserve case (upper/lower case) of input term. But with the termIndex and countIndex parameters in LoadDictionary() the position and order of the values can be changed and selected from a row with more than two values. Dictionary quality is paramount for correction quality. https://github.com/searchhub/preDict Spelling correction & Fuzzy search: 1 million times faster through Symmetric Delete spelling correction algorithm. While each string of length n can be segmented into, Word Segmentation for CJK languages for Indexing Spelling correction, Machine translation, Language understanding, Sentiment analysis, Normalizing English compound nouns for search & indexing (e.g. A Wox dictionary plugin that supports spelling correction and synonym. import pkg_resources from symspellpy import SymSpell, Verbosity sym_spell = SymSpell (max_dictionary_edit_distance = 2, prefix_length = 7) dictionary_path = pkg_resources. The Symmetric Delete spelling correction algorithm reduces the complexity of edit candidate generation and dictionary lookup for a given Damerau-Levenshtein distance. https://github.com/Archivus/SymSpell, SymSpell is contributed by SeekStorm - the high performance Search as a Service & search API. medium.com/@wolfgarbe/1000x-faster-spelling-correction-algorithm-2012-8701fcd87a5f, download the GitHub extension for Visual Studio, than the standard approach with deletes + transposes + replaces + inserts, 1000x Faster Spelling Correction algorithm, Fast approximate string matching with large edit distances in Big Data, Very fast Data cleaning of product names, company names & street names, Sub-millisecond compound aware automatic spelling correction, SymSpell vs. BK-tree: 100x faster fuzzy string search & spell checking, The Pruning Radix Trie — a Radix trie on steroids, SCOWL - Spell Checker Oriented Word Lists, https://github.com/justinwilaby/spellchecker-wasm, https://github.com/erhanbaris/SymSpellPlusPlus, https://github.com/chenkovsky/aha/blob/master/src/aha/sym_spell.cr, https://github.com/MighTguY/customized-symspell, https://github.com/jpsingarayar/SpellBlaze, https://github.com/MathieuLoutre/node-symspell, https://github.com/Yomguithereal/mnemonist/blob/master/symspell.js, https://github.com/AmitBhavsarIphone/SymSpell, https://github.com/ppgmg/github_public/blob/master/spell/symspell_python.py, https://github.com/rcourivaud/symspellcompound, https://github.com/Esukhia/sympound-python, https://www.kaggle.com/yk1598/symspell-spell-corrector. Automatic CamelCasing of programming variables. - Trademarks. CreateDictionaryEntry simplified, AddLowestDistance() removed. segmentation. https://github.com/Esukhia/sympound-python word
https://github.com/sajari/fuzzy initial_capacity from the original code is omitted since python cannot preallocate memory. WebAssembly Query correction (10–15% of queries contain misspelled terms), Fuzzy search & approximate string matching. Opposite to other algorithms only deletes are required, no transposes + replaces + inserts.