Loglikelihood ratio
Source:
http://dbpedia.org/resource/Likelihoodratio_test
See also: Likelihood ratio test, Log likelihood
See also: Likelihood ratio test, Log likelihood
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Publications (34)

1SMRCmp: SquareMeanRoot Approach to Comparison of Monolingual Contrastive Corporastatistical measures, including chisquare (χ2) and loglikelihood ratio (LLR). KEYWORDS : SquareMeanRoot evenness, SMR...

2Fast Computation of Lexical Affinity Models2004  Egidio Terra,Charles L. A. Clarkethe independence model is used as a baseline. 4.1 LogLikelihood Ratio The cooccurrence distributions assign probabilities...

3Scaled Log Likelihood Ratios for the Detection of Abbreviations in Text Corpora2002  Tibor Kiss,Jan Strunkcollocation detection such as the log likelihood ratio. Although the log likelihood ratio is known to show a good recall,...

4Linguistic correlates of style: authorship classification with deep linguistic analysis features2004  Michael Gamonfeature vector size. We have begun experimenting with log likelihood ratio (Dunning 1993) as a thresholding technique. To...

5Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis2004  Michael GamonThe measure of “predictiveness” we employed is log likelihood ratio with respect to the target variable (Dunning 1993)...

6Bilingual lexicon extraction from comparable corpora using indomain terms2010  Azniah Ismail,Suresh Manandhar(WS) of a source word WS , as in (Rapp, 1999), we use loglikelihood ratio (LL) Dunning (1993). We choose all words with LL >...

7The Computation of Word Associations: Comparing Syntagmatic and Paradigmatic Approaches2002  Reinhard Rappdata is an important issue, it is better to use the loglikelihood ratio. It would then be assumed that the strongest syntagmatic...

8A Measure of Term Representativeness Based on the Number of Cooccurring Salient Words2002  Toru Hisamitsu,Yoshiki Niwathe mutual information (Church et al. 1990) and loglikelihood ratio (Dunning 1993; Cohen 1995) have been widely used...

9Integrating CrossLingually Relevant News Articles and Monolingual Web Documents in Bilingual Lexicon Acquisitioninformation, the φ2 statistic, the dice coeﬃcient, and the loglikelihood ratio. tJ ¬tJ tE df(tE , tJ ) = a df(tE ,¬tJ ) = b ¬tE...

10Subcorpora Sampling with an Application to Bilingual Lexicon Extraction2012  Ivan Vulić,MarieFrancine Moensequivalence. 3.2.3 LogLikelihood Ratio Another associative model that we use is based on the loglikelihoodratio (LLR), that...