Galnet - WordNet 3.0 do Galego

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57 synsets, 18 deles (31.58 %) con 19 variantes en galego
[0]  06021499-n  | eng:   statistic  | glg:  estatística { [1] statistics }
[+1]   1   has_hyperonym   05816622-n  |  eng:  data_point, datum    { [1] information } [+1]   2   has_hyponym   06021761-n  |  eng:  average, norm  | glg: media   { [1] statistics } [+2]   1   has_hyponym   06023243-n  |  eng:  age_norm    { [2] statistics } [+2]   2   has_hyponym   06023675-n  |  eng:  modal_value, mode    { [1] statistics } [+3]   1   related_to   01594811-a  |  eng:  average, modal  | glg: modal   { [1] statistics } [+2]   3   has_hyponym   06023821-n  |  eng:  median, median_value    { [1] statistics } [+3]   1   related_to   01594472-a  |  eng:  average, median  | glg: medio   { [1] statistics } [+2]   4   has_hyponym   06023969-n  |  eng:  mean, mean_value    { [1] statistics } [+3]   1   has_hyponym   06024230-n  |  eng:  arithmetic_mean, expectation, expected_value, first_moment  | glg: valor_esperado   { [1] statistics } [+3]   2   has_hyponym   06024431-n  |  eng:  geometric_mean  | glg: media_xeométrica   { [1] statistics } [+3]   3   has_hyponym   06024576-n  |  eng:  harmonic_mean  | glg: media_harmónica   { [1] statistics } [+3]   4   related_to   01594146-a  |  eng:  average, mean  | glg: medio   { [1] statistics } [+2]   5   related_to   00639998-v  |  eng:  average, average_out    { [2] statistics } [+2]   6   related_to   01594146-a    |  eng:  average, mean | glg: medio   { [1] statistics } [+2]   7   related_to   02527294-v  |  eng:  average    { [2] statistics } [+2]   8   related_to   02645389-v  |  eng:  average, average_out    { [2] statistics } [+1]   3   has_hyponym   06022076-n  |  eng:  demographic    { [1] statistics } [+2]   1   related_to   02906351-a  |  eng:  demographic  | glg: demográfico, poboacional   { [2] statistics } [+3]   1   pertains_to   06152125-n  |  eng:  demography, human_ecology  | glg: demografía   { [3] science } [+4]   1   related_to   10002257-n  |  eng:  demographer, demographist, population_scientist  | glg: demógrafo   { [3] scientist } [+1]   4   has_hyponym   06022291-n  |  eng:  deviation    { [1] statistics } [+2]   1   has_hyponym   06023369-n  |  eng:  outlier    { [1] statistics } [+2]   2   has_hyponym   06023476-n  |  eng:  mean_deviation, mean_deviation_from_the_mean    { [1] statistics } [+2]   3   related_to   02661252-v  |  eng:  depart, deviate, diverge, vary    { [2] being  [2] activity } [+1]   5   has_hyponym   06022509-n  |  eng:  moment    { [1] statistics } [+2]   1   has_hyponym   06024761-n  |  eng:  second_moment    { [1] statistics } [+2]   2   has_hyponym   06024936-n  |  eng:  variance  | glg: varianza   { [1] statistics } [+3]   1   has_hyponym   06025172-n  |  eng:  standard_deviation  | glg: desvío_estándar   { [1] statistics } [+3]   2   has_hyponym   06025287-n  |  eng:  covariance    { [1] statistics } [+4]   1   related_to   02504830-a  |  eng:  covariant    { [2] statistics } [+4]   2   related_to   02662647-v  |  eng:  co-vary    { [2] statistics } [+4]   3   related_to   06032752-n  |  eng:  covariation    { [1] statistics } [+1]   6   has_hyponym   06022727-n  |  eng:  distribution_free_statistic, nonparametric_statistic    { [1] statistics } [+2]   1   has_hyponym   06034301-n  |  eng:  rank-difference_correlation, rank-difference_correlation_coefficient, rank-order_correlation, rank-order_correlation_coefficient    { [1] statistics } [+2]   2   has_hyponym   06034611-n  |  eng:  Kendall_test    { [1] statistics } [+3]   1   has_hyponym   06034870-n  |  eng:  Kendall_partial_rank_correlation    { [1] statistics } [+3]   2   has_hyponym   06035014-n  |  eng:  coefficient_of_concordance    { [1] statistics } [+3]   3   has_hyponym   06035213-n  |  eng:  Kendall's_tau, Kendall_rank_correlation, tau_coefficient_of_correlation    { [1] statistics } [+2]   3   has_hyponym   06035413-n  |  eng:  fourfold_point_correlation, phi_coefficient, phi_correlation    { [1] statistics } [+2]   4   has_pertainym   02911488-a  |  eng:  nonparametric    { [1] statistics } [+1]   7   has_hyponym   06023022-n  |  eng:  parametric_statistic    { [1] statistics } [+2]   1   has_hyponym   06028566-n  |  eng:  regression_coefficient    { [1] statistics } [+2]   2   has_hyponym   06032246-n  |  eng:  coefficient_of_correlation, correlation, correlation_coefficient  | glg: correlación   { [1] statistics } [+3]   1   has_hyponym   06033427-n  |  eng:  Pearson_product-moment_correlation_coefficient, product-moment_correlation_coefficient    { [1] statistics } [+3]   2   has_hyponym   06033692-n  |  eng:  multiple_correlation_coefficient    { [1] statistics } [+3]   3   has_hyponym   06033889-n  |  eng:  biserial_correlation, biserial_correlation_coefficient    { [1] statistics } [+3]   4   has_hyponym   06035674-n  |  eng:  chance-half_correlation, split-half_correlation    { [1] statistics } [+3]   5   has_hyponym   06035918-n  |  eng:  tetrachoric_correlation, tetrachoric_correlation_coefficient    { [1] statistics } [+3]   6   related_to   00713996-v  |  eng:  correlate  | glg: correlacionar   { [2] statistics } [+3]   7   related_to   02658979-v  |  eng:  correlate    { [2] statistics } [+3]   8   related_to   02704461-a  |  eng:  correlational    { [2] statistics } [+4]   1   pertains_to   13841651-n  |  eng:  correlation, correlativity  | glg: correlación   { [2] relation } [+5]   1   related_to   00713996-v    |  eng:  correlate | glg: correlacionar   { [2] statistics } [+5]   2   related_to   01946267-a  |  eng:  correlative    { [1] grammar } [+5]   3   related_to   01974298-a  |  eng:  correlate, correlated, correlative  | glg: correlativo   { [3] relation } [+5]   4   related_to   02658979-v    |  eng:  correlate   { [2] statistics } [+5]   5   related_to   02704461-a    |  eng:  correlational   { [2] statistics } [+1]   8   has_hyponym   06029547-n  |  eng:  time_series    { [1] statistics } [+1]   9   has_hyponym   06029676-n  |  eng:  vital_statistics    { [1] statistics } [+1]   10   category   06018465-n  |  eng:  statistics  | glg: estatística   { [2] math }

Verificación dos termos nun corpus etiquetado semanticamente (UKB)
*A verificación pode demorar uns minutos, en función da cantidade de variantes e do tamaño do corpus.
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Seminario de Lingüística Informática - Grupo TALG, Universidade de Vigo, 2019
Deseño e programación: Xavier Gómez Guinovart & Miguel Solla
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