A hopefully comprehensive list of currently 275 tools used in corpus compilation and analysis.
This list is kept up to date by its users. Hence, please feel free to contribute by suggesting new tools.
You can also make suggestions, e.g., corrections, regarding individual tools by clicking the ✎ symbol. As this is a non-commercial side (side, side) project, checking and incorporating updates usually takes some time.
There is also a comprehensive list of all tags in the database.
|AntGram ✎||A freeware n-gram and p-frame (open-slot n-gram) generation tool.||text analysis, n-grams, p-frames, lexical bundles, lexical frames||Windows, Mac, Linux||Free|
|kfNgram ✎||A simple tool for generating n-grams||n-grams, p-frames||Windows||Free|
|N-Gram Processor (NGP) ✎||A perl based tool for the creation and processing of n-gram lists out of text files.||n-grams||Linux, Windows, Mac||Open Source|
|Sketch Engine ✎||A corpus manager and text analysis software developed by Lexical Computing.||annotation, concordancer, tagging, sampling, search, visualization, wordlists, keywords, compilation, text analysis, n-grams, collocation, statistics, segmentation, analysis, crawler, parallel, colligation, annotations, tokenization, query, ngrams, boilerplate remover, comparison, frequency analysis, information retrieval, data, sentence boundary, corpus creation, duplicate remover, regex, thesaurus, meta modelling, dictionary, text-processing, xml, frequency, trends patterns, web-based, collocates, collocation analysis, word cloud, coocurence, KWIC, corpus management, multilingual, NLP, diachronic analysis, term extraction, keyword extraction, bilingual term extraction||30-day free trial then starts at 4.83 €/month|
|WordCruncher ✎||A tool for searching, studying, and analyzing digital texts and corpora. The tool has been tested for corpora up to a billion words.||concordancer, wordlists, collocates, n-grams, keywords, key phrases, ebooks||Windows, Mac, iOS||Free|
Last Updated: May 07, 2023.
In case you are interested, the data is also available in JSON format.