We have collection of more than 1 Million open source products ranging from Enterprise product to
small libraries in all platforms. We aggregate information from all open source repositories.
Search and find the best for your needs. Check out projects section.
SymSpell - SymSpell: 1 million times faster through Symmetric Delete spelling correction algorithm
The Symmetric Delete spelling correction algorithm reduces the complexity of edit candidate generation and dictionary lookup for a given Damerau-Levenshtein distance. It is six orders of magnitude faster (than the standard approach with deletes + transposes + replaces + inserts) and language independent. Lookup provides a very fast spelling correction of single words.
Go efficient text segmentation; support english, chinese, japanese and other. Dictionary with double array trie (Double-Array Trie) to achieve, Sender algorithm is the shortest path based on word frequency plus dynamic programming.
We created also some demo pages that show tolerant retrieval with n-grams in action. The package has bunch of helper functions like jaro-winkler and cosine similarity for distance calculations. It supports stemming for English, Croatian, Arabic, Italian, Russian, Portuguese and Ukrainian. If the built in stemmers aren't enough, the engine lets you easily plugin any compatible snowball stemmer. Some forks of the package even support Chinese. Unlike many other engines, the index can be easily updated without doing a reindex or using deltas.
This project provides 100+ Chinese Word Vectors (embeddings) trained with different representations (dense and sparse), context features (word, ngram, character, and more), and corpora. One can easily obtain pre-trained vectors with different properties and use them for downstream tasks. Moreover, we provide a Chinese analogical reasoning dataset CA8 and an evaluation toolkit for users to evaluate the quality of their word vectors.
A collection of open source libraries and tools that provide solutions for common problems in processing Arabic text, especially in web applications. text normalization, phrase segmentation, text indexing, stop word lists, common spelling mistakes.