Free Text Concordance — KWIC, n-grams, Frequency

Text Concordance gives researchers a quick, browser-native view of how words behave inside a text. It computes frequencies for unigrams, bigrams, and trigrams, supports a stopword filter so the top of the list isn't 'the, of, and', and produces a keyword-in-context (KWIC) view — every occurrence of a search term with a window of surrounding context. Concordance views were the original tool of corpus linguistics and qualitative coding, and they remain useful any time you want to understand how a term is actually used rather than how often it appears.

The text is tokenised with a Unicode-aware regex that captures letter and digit sequences. N-gram frequencies are computed by sliding a window of size 1, 2, or 3 across the token list. The stopword filter is a built-in English list applied before n-gram counting. KWIC search runs a regex over the original text (optionally case-sensitive and whole-word) and slices a window of characters on each side of every match.