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  2. Word error rate - Wikipedia

    en.wikipedia.org/wiki/Word_error_rate

    The general difficulty of measuring performance lies in the fact that the recognized word sequence can have a different length from the reference word sequence (supposedly the correct one). The WER is derived from the Levenshtein distance, working at the word level instead of the phoneme level. The WER is a valuable tool for comparing different ...

  3. tf–idf - Wikipedia

    en.wikipedia.org/wiki/Tf–idf

    tf–idf. In information retrieval, tf–idf (also TF*IDF, TFIDF, TF–IDF, or Tf–idf ), short for term frequency–inverse document frequency, is a measure of importance of a word to a document in a collection or corpus, adjusted for the fact that some words appear more frequently in general. [ 1] Like the bag-of-words model, it models a ...

  4. Zipf's law - Wikipedia

    en.wikipedia.org/wiki/Zipf's_law

    A plot of the frequency of each word as a function of its frequency rank for two English language texts: Culpeper's Complete Herbal (1652) and H. G. Wells's The War of the Worlds (1898) in a log-log scale. The dotted line is the ideal law y ∝ 1/x.

  5. Letter frequency - Wikipedia

    en.wikipedia.org/wiki/Letter_frequency

    Letter frequency is the number of times letters of the alphabet appear on average in written language. Letter frequency analysis dates back to the Arab mathematician Al-Kindi ( c. 801 –873 AD), who formally developed the method to break ciphers. Letter frequency analysis gained importance in Europe with the development of movable type in 1450 ...

  6. Word frequency effect - Wikipedia

    en.wikipedia.org/wiki/Word_frequency_effect

    The word frequency effect is a psychological phenomenon where recognition times are faster for words seen more frequently than for words seen less frequently. [1] Word frequency depends on individual awareness of the tested language. [2] The phenomenon can be extended to different characters of the word in non-alphabetic languages such as Chinese.

  7. Text mining - Wikipedia

    en.wikipedia.org/wiki/Text_mining

    Text mining, text data mining ( TDM) or text analytics is the process of deriving high-quality information from text. It involves "the discovery by computer of new, previously unknown information, by automatically extracting information from different written resources." [ 1] Written resources may include websites, books, emails, reviews, and ...

  8. Tag cloud - Wikipedia

    en.wikipedia.org/wiki/Tag_cloud

    Tag cloud of a mailing list [ 1] A tag cloud with terms related to Web 2.0. A tag cloud (also known as a word cloud or weighted list in visual design) is a visual representation of text data which is often used to depict keyword metadata on websites, or to visualize free form text. Tags are usually single words, and the importance of each tag ...

  9. Word list - Wikipedia

    en.wikipedia.org/wiki/Word_list

    A word list (or lexicon) is a list of a language's lexicon (generally sorted by frequency of occurrence either by levels or as a ranked list) within some given text corpus, serving the purpose of vocabulary acquisition. A lexicon sorted by frequency "provides a rational basis for making sure that learners get the best return for their ...

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