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  2. Lexical similarity - Wikipedia

    en.wikipedia.org/wiki/Lexical_similarity

    In linguistics, lexical similarity is a measure of the degree to which the word sets of two given languages are similar. A lexical similarity of 1 (or 100%) would mean a total overlap between vocabularies, whereas 0 means there are no common words. There are different ways to define the lexical similarity and the results vary accordingly.

  3. BLEU - Wikipedia

    en.wikipedia.org/wiki/BLEU

    BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language to another. Quality is considered to be the correspondence between a machine's output and that of a human: "the closer a machine translation is to a professional human translation, the better it is" – this is the central idea behind BLEU.

  4. Template modeling score - Wikipedia

    en.wikipedia.org/wiki/Template_modeling_score

    The TM-score indicates the similarity between two structures by a score between (,], where 1 indicates a perfect match between two structures (thus the higher the better). [1] Generally scores below 0.20 corresponds to randomly chosen unrelated proteins whereas structures with a score higher than 0.5 assume roughly the same fold. [ 2 ]

  5. Similarity measure - Wikipedia

    en.wikipedia.org/wiki/Similarity_measure

    In statistics and related fields, a similarity measure or similarity function or similarity metric is a real-valued function that quantifies the similarity between two objects. Although no single definition of a similarity exists, usually such measures are in some sense the inverse of distance metrics : they take on large values for similar ...

  6. Pairwise comparison - Wikipedia

    en.wikipedia.org/wiki/Pairwise_comparison

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  7. Similarity learning - Wikipedia

    en.wikipedia.org/wiki/Similarity_learning

    A common approach for learning similarity is to model the similarity function as a bilinear form. For example, in the case of ranking similarity learning, one aims to learn a matrix W that parametrizes the similarity function f W ( x , z ) = x T W z {\displaystyle f_{W}(x,z)=x^{T}Wz} .

  8. Brian Thompson’s death recalls 2015 murders of reporter ...

    www.aol.com/brian-thompson-death-recalls-2015...

    Video of the terrifying incident ran on the station’s morning news program, capturing the sound of at least eight gunshots, then screams, and briefly showed Flanagan, 41, holding a gun.

  9. Similarity score - Wikipedia

    en.wikipedia.org/wiki/Similarity_score

    Similarity scores are among the many original sabermetric concepts first introduced by Bill James. James initially created the concept as a way to effectively compare non- Hall of Fame players to players in the Hall, to see who was either on track to make the HOF, or to determine if any eligible players had been snubbed by the selection committee.