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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.
The Iribarren number which is often denoted as Ir or ξ – is defined as: [5] = /, with =, where ξ is the Iribarren number, is the angle of the seaward slope of a structure, H is the wave height, L 0 is the deep-water wavelength, T is the period and g is the gravitational acceleration.
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 ...
By the original design the GDT algorithm calculates 20 GDT scores, i.e. for each of 20 consecutive distance cutoffs (0.5 Å, 1.0 Å, 1.5 Å, ... 10.0 Å). [2] For structure similarity assessment it is intended to use the GDT scores from several cutoff distances, and scores generally increase with increasing cutoff.
Semantic similarity is a metric defined over a set of documents or terms, where the idea of distance between items is based on the likeness of their meaning or semantic content [citation needed] as opposed to lexicographical similarity. These are mathematical tools used to estimate the strength of the semantic relationship between units of ...
T-unit: T 6. Dependent clause: DC 7. Complex T-unit CT 8. Coordinate phrase CP 9. Complex nominal CN 10. Syntactic complexity indices Length of production units Mean length of sentence MLS 11. Mean length of T-unit MLT 12. Mean length of clause MLC 13. Overall sentence complexity Clause per sentence C/S 14. Amounts of subordination: Clause per ...
In this scenario, the similarity between the two baskets as measured by the Jaccard index would be 1/3, but the similarity becomes 0.998 using the SMC. In other contexts, where 0 and 1 carry equivalent information (symmetry), the SMC is a better measure of similarity.
The ethnologue figures seem to be way off mark, especially when comparing English to French and German which are given two widely differing coefficients. In English, if you write any formal or business letter, or any text relating to culture or law the lexical similarity with French is likely to be very high, and that with German will be much ...