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Range tell you about the distribution of words across a set of two or more texts. The texts can be comparable corpora, or subdivisions of a corpus, or texts supplied by a user

    1. Range for Texts v.4.1 (2020)
    Users upload from 2 to 25 text files and see how many of them each word appears in. Sub-lists can be extracted based on frequency, range and other criteria.
    NEW in v.3: Size capacity doubled to 1 million words throughput; full column sorting
    NEW in v.4: (FEB 2020) data summarized in 'Range Profile'; formatting fixes
    NEW in v.4.1: (APR 2020) Text files can be uploaded in a single zip file
    1.1 Text-Lex Compare
    This is a more pedagogical version of Range for Texts, with richer output adapted to pedagogical uses, including paste-in input, a Recycling Index with regard to the second/final text in a series, and a selection of Demos with typical comparison pairs (different topic different author, same topic different author, etc.). Output links to VP-BNC.
    2. Range for Sample Corpora v.0.9 (2014)
    Compare three corpus-sets can be compared for presence for a particular shared word, chunk, or family: (1) Speech v. Writing in English, (2) Speech v. Writing in French, and (3) sub-sections of the Brown corpus at two grain sizes. Update: Lextutor main concordancer running separate-files data now duplicates this function with much larger corpora (ex, BAWE Written with 8 million words in 30 sub-corpora)

 

Range - Based on Heatley and Nation (1994) plus several updates, latest obtainable here (bottom) Adapted for Web by Tom Cobb - Université du Québec à Montréal